Price transmission and market integration analysis of black gram (urad dal) across major Indian states by Sukhvir Singh, Amit Guleria, Parvender Sheoran, Pankaj Sood, Vishal Mahajan, Dharminder Kumar, Satbir Singh, Gurdeep Singh, Rajesh K. Rana

“…Seasonal indices confirm price and production fluctuations, emphasizing the need for targeted policy interventions. Strong price integration among states is evident, with high correlation coefficients and long-run equilibrium relationships. …”
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Prevalence and correlates of microalbuminuria in high-risk persons with hypertension, diabetes, or HIV at a tertiary hospital in Zambia. by Luyando Mutelo, Cornelius Simutanda, Lweendo Muchaili, Bislom C Mweene, Situmbeko Liweleya, Sydney Mulamfu, Gift C Chama, Lukundo Siame, Benson M Hamooya, Sepiso K Masenga

“…Additionally, it informs targeted therapeutic interventions and provides critical prognostic information, thereby enhancing overall clinical outcomes. …”
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Interplay of education and community norms in justifying intimate partner violence among ever-married women aged 15–49 years in Bangladesh: a cross-sectional study by Mohammad Hridoy Patwary, Sumaiya Nusrat Esha

“…The parametric g-formula was employed to estimate potential outcome probabilities of IPV justification under hypothetical scenarios, with bootstrapping used for standard error calculations. Results 13.9% of the ever-married women in Bangladesh aged 15–49 years justified IPV. …”
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An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro by David Hanny, Dorian Arifi, Steffen Knoblauch, Bernd Resch, Sven Lautenbach, Alexander Zipf, Antonio Augusto de Aragão Rocha

“…Abstract The recent COVID-19 pandemic has underscored the need for effective public health interventions during infectious disease outbreaks. Understanding the spatiotemporal dynamics of urban human behaviour is essential for such responses. …”
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A Wearable Sensor Node for Measuring Air Quality Through Citizen Science Approach: Insights from the SOCIO-BEE Project by Nicole Morresi, Maite Puerta-Beldarrain, Diego López-de-Ipiña, Alex Barco, Oihane Gómez-Carmona, Carlos López-Gomollon, Diego Casado-Mansilla, Maria Kotzagianni, Sara Casaccia, Sergi Udina, Gian Marco Revel

“…The results show strong correlation with official PM_2.5 data (R² = 0.75), with an average absolute error of 0.54 µg/m³ and a statistical confidence interval of ±3.3 µg/m³. …”
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Advanced deep transfer learning techniques for efficient detection of cotton plant diseases by Prashant Johri, SeongKi Kim, Kumud Dixit, Prakhar Sharma, Barkha Kakkar, Yogesh Kumar, Jana Shafi, Muhammad Fazal Ijaz

“…Image recognition plays an important role for the timely and accurate identification of diseases in cotton plants as it allows farmers to implement effective interventions and optimize resource allocation. Additionally, deep learning has begun as a powerful technique for to detect diseases in crops using images. …”
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Discriminative Validity and Reliability of the Single-Leg Squat and Single-Leg Landing Frontal Plane Kinematics in Individuals with Lower Limb Functional Deficits by Jean Marlon Machado, Marcelo Peduzzi de Castro, Amandda de Souza, Carlos Alberto Atherinos Pierri, Francisco Xavier de Araujo, Heiliane de Brito Fontana, Caroline Ruschel

“…Background/Objectives: Kinematic measurements obtained from functional tests have been used to identify associated and risk factors for the development of lower limb dysfunction, allowing targeted interventions to reduce potential risks and guide rehabilitation. …”
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Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy perfor... by Benjamin Blackman, Prushoth Vivekanantha, Rafay Mughal, Ayoosh Pareek, Anthony Bozzo, Kristian Samuelsson, Darren de SA

“…Four studies reported calibration error, with all four studies demonstrating significant miscalibration at either two or five-year follow-ups amongst 10 of 14 models assessed. …”
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Survivin Expression in Placentas with Intrauterine Growth Restriction by Pavo Perković, Sanja Štifter-Vretenar, Marina Perković, Marko Štefančić, Ena Holjević, Andrea Dekanić, Tea Štimac

“…Survivin levels were quantified using positive cell proportion (PCP) scores and immunoreactive scores (IRS), with statistical significance determined using mean values, standard deviation (SD), standard error, and Student’s t test in instances of normal distribution, and when this was not the case, the Mann–Whitney test. …”
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Prediction of Snacking Behavior Involving Snacks Having High Levels of Saturated Fats, Salt, or Sugar Using Only Information on Previous Instances of Snacking: Survey- and App-Base... by Shaima Dammas, Tillman Weyde, Katy Tapper, Gerasimos Spanakis, Anne Roefs, Emmanuel M Pothos

“…In all cases, the prediction problem was the time to the next HFSS snack from the current one, and the evaluation metric was the mean absolute error. ResultsThe ability of machine learning methods to predict the time of the next HFSS snack was assessed. …”
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Barriers to postnatal care utilization during the COVID-19 pandemic: a cross-sectional study of sociodemographic and spatial factors in Mexico City by Magalhi Robledo-Clemente, Juan Carlos Silva Godínez, Juan Carlos Silva Godínez, Lucía Daniela García Montes, Jorge Valencia-Ortega, Renata Saucedo

“…These findings suggest the need for targeted interventions addressing geographic barriers and incorporating mental health support to enhance maternal healthcare access among vulnerable populations. …”
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Investigation of a Novel Noninvasive Risk Analytics Algorithm With Laboratory Central Venous Oxygen Saturation Measurements in Critically Ill Pediatric Patients by Sarah A. Teele, MD, MSHPEd, Avihu Z. Gazit, MD, Craig Futterman, MD, William G. La Cava, PhD, David S. Cooper, MD, MPH, MBA, Steven M. Schwartz, MD, MS, Joshua W. Salvin, MD, MPH

“…Interpretation remains subjective and vulnerable to error. Recognition of patient’s evolving clinical status as well as the impact of therapeutic interventions may be delayed. …”
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Wealth-related inequalities of women’s cervical cancer screening in 11 Sub-Saharan African countries: evidence from a pooled decomposition analysis by Beminate Lemma Seifu, Yohannes Mekuria Negussie, Angwach Abrham Asnake, Hiwot Atlaye Asebe, Bezawit Melak Fente, Zufan Alamrie Asmare, Mamaru Melkam, Meklit Melaku Bezie, Alemayehu Kasu Gebrehana, Sintayehu Simie Tsega

“…The weighted Erreygers normalized concentration index was 0.25 with a standard error of 0.0078 (P value < 0.0001), indicating a statistically significant pro-rich distribution of wealth-related inequalities in cervical cancer screening uptake among reproductive-aged women. …”
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Selection of an HLA-C*03:04-Restricted HIV-1 p24 Gag Sequence Variant Is Associated with Viral Escape from KIR2DL3+ Natural Killer Cells: Data from an Observational Cohort in South... by Angelique Hölzemer, Christina F Thobakgale, Camilo A Jimenez Cruz, Wilfredo F Garcia-Beltran, Jonathan M Carlson, Nienke H van Teijlingen, Jaclyn K Mann, Manjeetha Jaggernath, Seung-gu Kang, Christian Körner, Amy W Chung, Jamie L Schafer, David T Evans, Galit Alter, Bruce D Walker, Philip J Goulder, Mary Carrington, Pia Hartmann, Thomas Pertel, Ruhong Zhou, Thumbi Ndung'u, Marcus Altfeld

“…Furthermore, activation of primary KIR2DL3+ NK cells from healthy donors in response to HLA-C*03:04+ target cells presenting the variant epitope was significantly reduced in comparison to cells presenting the wild-type sequence (wild-type mean 0.78 ± 0.07 standard error of the mean [SEM] and variant mean 0.63 ± 0.07 SEM, p = 0.012). …”
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Towards Real-Time Spatial Distance Monitoring of Power Transmission Lines Using LiDAR Point Clouds and Visual Imaging by Li Zhendong, Wang Feiran, Han Geng, Guo Xinyang, Shi Zhaoyang

“…Classic inspection approaches like ground surveys by manual methods and visual inspections by drones are time-consuming, costly, and susceptible to human error. OBJECTIVES: Current LiDAR-based approaches are limited in automation, with extensive post-processing based on manual intervention. …”
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Sevoflurane Impairs Short-Term Memory by Affecting PSD-95 and AMPA Receptor in the Hippocampus of a Mouse Model by Yuan Jiao, Hongwu Fan, Kexin Wang, Shan Lu

“…According to the test points of behavioral indicators, 8 mice were randomly selected from each subgroup at point 12 h (T1), 24 h (T2), 48 h (T3), and 72 h (T4) after inhalation intervention. The step-through latency and error times were measured in 5 min. …”
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Nutrition Care for Patients with Weight Regain after Bariatric Surgery by Carlene Johnson Stoklossa, Suneet Atwal

“…Achieving optimal weight outcomes for patients with obesity is important to the management of their chronic disease. All interventions present risks for weight regain. Bariatric surgery is the most efficacious treatment, producing greater weight losses that are sustained over more time compared to lifestyle interventions. …”
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Perception of ‘patient safety culture’ among healthcare professionals in the field of haematopoietic stem cell transplantation and CAR-T therapy: a multicentre cross-sectional obse... by Giuseppe Vetrugno, Massimo Martino, Chiara Visintini, Vincenzo M Grassi, Marco Cioce, Angela Iula, Patrizia Cornacchione, Stefano Botti, Valentina Zoboli, Raffaella Cerretti, Sonia Soave, Barbara Guidi, Giorgia Gobbi, Silvia Finotto, Denise Bettini, Nicola Mordini, Enrico Dutto, Anna Mele, Gabriele Sperti, Renato Congedo, Valentina De Cecco, Alessandra Picardi, Domenico Buonanno, Angelo Michele Carella, Matteo Steduto, Maria Teresa Lupo-Stanghellini, Anna Carmagnola, Maura Faraci, Marco Deiana, Michele Cimminiello, Emilia Lerose, Smona Sica, Fabio Lamberti, Michele Di Donato, Carmen Nuzzo

“…Binary logistic regression showed that haematologists reported higher PSC perceptions compared with nurses with positive responses exceeding 75%, particularly in dimensions such as ‘Teamwork’ (nurse OR=0.306, p=0.009), ‘Organizational Learning—Continuous Improvement’ (nurse OR=0.332, p=0.011), ‘Response to Error’ (nurse OR=0.360, p=0.024), ‘Supervisor Support’ (nurse OR=0.160, p&lt;0.001), ‘Communication About Error’ (nurse OR=0.152, p=0.001) and ‘Global Instrument’ (nurse OR=0.150, p&lt;0.001).The findings highlight the need for targeted interventions to address discrepancies in PSC perceptions across professional roles, age groups and regions. …”
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Comparison of the Effects of Wearing Overminus Spectacles versus Patch Therapy in 3- to 8-Year-Old Children with Intermittent Exotropia: A Randomized Controlled Trial by Mohammad Sharifi, Samira Hassanzadeh, Marzieh Najaran, Negar Shahsavar, Negar Morovatdar

“…Results: The median spherical error of patients before intervention in the overminus group was +1 diopter in the right eye and +0.75 diopter in the left eye, and in the patch therapy group, +0.75 diopter in both the right and left eyes. …”
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A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a University Setting by Salaki Reynaldo Joshua, An Na Yeon, Sanguk Park, Kihyeon Kwon

“…The Transformer model was evaluated using metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and an additional variation of MAE (MAE2). …”
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