Reasons for living and depressive symptomatology in young adults with and without suicide attempts: a moderated mediation approach by Marta Brás, Marta Brás, Marta Brás, Cátia Martins, Cátia Martins, Cátia Martins, Cristina Nunes, Cristina Nunes, Cristina Nunes, Saul Neves Jesus, Saul Neves Jesus, Saul Neves Jesus, Ana Rita Madeira, Cláudia Carmo, Cláudia Carmo, Cláudia Carmo

“…Higher levels of depressive symptomatology predict lower levels of reasons for living. Mediation and moderation relations were assessed in a model and the history of suicide attempts showed a relevant role.ConclusionsThe evidence found in this study reinforce that reasons for living may play a preponderant role in suicidal ideation, that is as a negative mediator and therefore it can act as a protective factor.…”
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Production of Nanofibers Composed of CuO for the Removal of Pb(II) from Aqueous Solutions by Amábile Giotto dos Santos, Thiago Rodrigues Martins, Satheesh Krishnamurthy, Daniel Assumpção Bertuol, Eduardo Hiromitsu Tanabe

“…Satisfactory Pb (II) adsorption was reached at 298 K, pH 5.8, and a maximum adsorption of 151.34 mg g⁻¹ was achieved, predicted by the Hill model. The kinetic data proved that Pb (II) adsorption better fitted the pseudo-second-order model, while the Hill model was confirmed to best fit the equilibrium data. …”
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Brittleness evaluation of main coal seams in Permian Taiyuan-Shanxi formations, Baode block, Ordos Basin: based on a convolutional neural network method by Qingfeng ZHANG, Ziling LI, Jikun ZHANG, Shuai HAO, Xiaoguang SUN, Yanjie SHANG, Yun ZUO

“…The results indicated that CNN-based predictions of rock mechanical parameters had good applicability for coal-bearing layers. …”
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Experimental Investigation on the Behavior of Iron Powder-Reinforced Sand under Electromagnetic Field by Ying Lai, Bin Zhu, Xiangtian Xu

“…With the application of the revised Duncan–Chang model, the standard error of the estimate between the experimental and predicted results is lowered down to 0.39 from 4.7. …”
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Evaluation of Serum Vascular Adhesion Protein-1 as a Potential Biomarker in Thyroid Cancer by Zhigang Hu, Pengxin Zhao, Kaili Zhang, Leilei Zang, Haiying Liao, Weiyuan Ma

“…The aim of this study was to evaluate the changes and the predictive value of serum VAP-1 in patients with thyroid cancer. …”
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Multitask Learning for Estimation of Magnetic Parameters Using Pattern Recognition by Anubha Sehgal, Shipra Saini, Hemkant Nehete, Kunal Kranti Das, Sourajeet Roy, Brajesh Kumar Kaushik

“…Machine learning (ML) approaches present an effective technique for accurately and efficiently predicting device parameters. Using these techniques, we introduce a multi-task convolutional neural network (CNN) model and support vector regression (SVR) model that is intended to precisely estimate two important parameters of magnetic systems such as the Dzyaloshinskii-Moriya interaction (DMI) constant and the exchange constant (A_ex). …”
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Effects of Different Water Seasons on the Residual Characteristics and Ecological Risk of Polycyclic Aromatic Hydrocarbons in Sediments from Changdang Lake, China by Javid Hussain, Zhenhua Zhao, Yong Pang, Liling Xia, Ittehad Hussain, Xin Jiang

“…Redundancy analysis was applied to identify the impact factors and the possible relationship between PAHs and environmental parameters. The predicted results showed that the main factors impacting PAHs temporal distribution were temperature, dissolved oxygen, pH, and oxidation-reduction potential, while conductivity showed secondary impacts on the PAHs distribution. …”
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Unveiling the nanoworld of antimicrobial resistance: integrating nature and nanotechnology by Devesh Sharma, Devesh Sharma, Sakshi Gautam, Sakshi Singh, Nalini Srivastava, Abdul Mabood Khan, Deepa Bisht

“…A significant global health crisis is predicted to emerge due to antimicrobial resistance by 2050, with an estimated 10 million deaths annually. …”
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Terminally ill head and neck cancer patients and AI: Opportunities and prospects by Gargi S. Sarode, Sachin C. Sarode

“…These include pain management and symptom control through predictive modeling, psychosocial support via AI-powered chatbots, treatment decision support by synthesizing patient data, automated radiation planning, end-of-life planning with AI-driven decision support systems, facilitating family communication through structured guidance and emotional support, and legacy building using AI-enabled digital platforms for preserving personal narratives. …”
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Symmetry-invariant quantum machine learning force fields by Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

“…This approach has recently been extended to incorporate quantum computational methods, making use of variational quantum learning models to predict potential energy surfaces and atomic forces from ab initio training data. …”
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Determinants of Weight Loss following Laparoscopic Sleeve Gastrectomy: The Role of Psychological Burden, Coping Style, and Motivation to Undergo Surgery by Andrea Figura, Anne Ahnis, Andreas Stengel, Tobias Hofmann, Ulf Elbelt, Jürgen Ordemann, Matthias Rose

“…An “active coping” style might be of predictive value for better weight loss outcomes in patients following LSG intervention.…”
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Influence of fused deposition modelling printing parameters on tablet disintegration times: a design of experiments study by Kreft Klemen, Stanić Tijana, Perhavec Petra, Dreu Rok, Lavrič Zoran

“…A statistical model with accurate fit (R2 = 0.928) and predictability (Q2 = 0.847) was created. In addition, only the infill pattern and layer height influenced both the uniformity of mass and uniformity of the disintegration time, which demonstrates the robustness of the printing process.…”
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Factors Associated with the Prevalence of Thyroid Nodules and Goiter in Middle-Aged Euthyroid Subjects by Dalia Dauksiene, Janina Petkeviciene, Jurate Klumbiene, Rasa Verkauskiene, Jelena Vainikonyte-Kristapone, Audrone Seibokaite, Jonas Ceponis, Vygantas Sidlauskas, Laura Daugintyte-Petrusiene, Antanas Norkus, Birute Zilaitiene

“…Female gender, TSH levels, and thyroid volume predicted the presence of thyroid nodules.…”
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Climate change impacts on flood risks in the Abou Ali River Basin, Lebanon: A hydrological modeling approach by Fouadi AlZaatiti, Jalal Halwani, Mohamed R. Soliman

“…In contrast, BCCCSM2-MR predicts an 8 % increase in precipitation, under the same scenario. …”
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Physicochemical properties and drug likeness of hydroxycinnamic acids and their molecular docking with caffeine and amoxicillin: Potential anticancer drugs by Umer Sherefedin, Abebe Belay, Kusse Gudishe, Alemu Kebede, Alemayehu Getahun Kumela, Tesfaye Feyisa, Jebel Haji Mahamud, Shallo Fekadu

“…FA and p-CA also showed favorable pharmacokinetic properties, including high gastrointestinal absorption, low drug–drug interaction risks, and a predicted ability to permeate the blood–brain barrier. …”
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Severe Tuberculosis Requiring Intensive Care: A Descriptive Analysis by Raquel Pacheco Duro, Paulo Figueiredo Dias, Alcina Azevedo Ferreira, Sandra Margarida Xerinda, Carlos Lima Alves, António Carlos Sarmento, Lurdes Campos dos Santos

“…This study aims to describe the characteristics of tuberculosis (TB) patients requiring intensive care and to determine the in-hospital mortality and the associated predictive factors. Methods. Retrospective cohort study of all TB patients admitted to the ICU of the Infectious Diseases Department of Centro Hospitalar de São João (Porto, Portugal) between January 2007 and July 2014. …”
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Production Thematic Maps of Bearing Capacity of Shallow Foundation for Al-Basrah Soil Using Standard Penetration Data and GIS by Majeed Sabaa, Alaa Salman, Ammar Dakhil, Saba Jawad, Mahdi Karkush, Ahmed Athab

“…These maps can be used by different local authorities to predict soil bearing capacity and choose a suitable type of foundation. …”
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A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos by Shagun Sharma, Kalpna Guleria

“…This model enhances data privacy while performing collaborative learning with diverse data silos and resulting in improved predictions. The proposed federated learning framework has been trained with a pre-trained EfficientNetB3 model in the Independent and Identically Distributed (IID) and non-IID data distributions, while the model updation has been performed using federated proximal aggregation. …”
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Radiographic Measurements and Diagnosis of Hip Dysplasia in Infants Using Computer Vision and a Rule-Based System by Ernesto Pérez Pérez, Roberto Díaz Amador, Karina Leonor Fernández Sánchez, José Julio Requeiro Molina, José Julio Requeiro Morejón

“…The correspondence between the diagnosis predicted by the system and that issued by specialist doctors was also high.…”
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Optimization of Two-Step Acid-Catalyzed Hydrolysis of Oil Palm Empty Fruit Bunch for High Sugar Concentration in Hydrolysate by Dongxu Zhang, Yee Ling Ong, Zhi Li, Jin Chuan Wu

“…A total sugar concentration of 83.0 g/L with a xylose concentration of 69.5 g/L and a xylose yield of 84.0% was experimentally achieved, which is in well agreement with the model predictions under optimal conditions (3% H2SO4 and 1.2% H3PO4, w/v, liquid to solid ratio 3 mL/g, 130°C, and 36 min). …”
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