bluuebunny/crossref_metadata_2025_split huggingface dataset:
Drying characteristics and thin layer drying model of semi-mature rice paper
Authors: Wang Weichao , Yan Yan , Pan Zhao 
Published: February 2024

Abstract
The effects of different hot air speeds and temperatures on the drying characteristics of half-ripe rice paper were investigated by hot air convection drying experiments. The thin-layer drying experiments were carried out at three different combinations of air speeds of 1.97 m/s, 3.00 m/s, and 3.90 m/s and temperatures of 85 °C, 100 °C and 115 °C. The results show that among the 10 drying kinetic models selected, the Modified Page model is the most suitable model to describe the drying characteristics of the thin layer of half-ripe rice paper; the whole drying process exists obvious ascending, constant and descending processes; the effective moisture diffusion coefficient of half-ripe rice paper is in the range of 1.52656 × 10−9 m2/s–3.15816 × 10−9 m2/s, whose size increases with the increase of the hot wind speed and temperature. Its magnitude increases with the increase of wind speed and temperature; the drying activation energy of half-ripe rice paper is 6.55 kJ/mol calculated by Arrhenius equation.
Identification of hypoxia-immune-related signatures for predicting immune efficacy in triple-negative breast cancer
Authors: Wang Luping , Han Haote , Ma Jiahui , Feng Yue , Han Zhuo , Maharaj Vinesh , Tian Jingkui , Zhu Wei , Li Shouxin , Shao Xiying 
Published: February 2024

Abstract

Objectives
The therapeutic effect against triple-negative breast cancer (TNBC) varies among individuals. Finding signatures to predict immune efficacy is particularly urgent. Considering the connection between the microenvironment and hypoxia, hypoxia-related signatures could be more effective. Therefore, in this study, we aimed sought to construct a hypoxia-immune-related prediction model for breast cancer and identify therapeutic targets.

Methods
Immune and hypoxia status in the TNBC microenvironment were investigated using single-sample Gene Set Enrichment Analysis (ssGSEA) and Uniform Manifold Approximation and Projection (UMAP). The least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis were employed to build a prognostic model based on hypoxia-immune-related differentially expressed genes. The Cancer Genome Atlas (TCGA) cohort, real-time quantitative polymerase chain reaction (qRT-PCR), and immunofluorescence staining were utilized to analyze the expression differences. Tumor immune dysfunction and exclusion indexes were used to indicate the effect of immunotherapy.

Results
We identified 11 signatures related to hypoxia and immunity. Among these genes, C-X-C motif chemokine ligand (CXCL) 9, 10, and 11 were up-regulated in TNBC tissues compared to normal tissues. Furthermore, CXCL9, 10, 11, and 13 were found to enhance the effect of immunotherapy.

Conclusions
These findings suggest the value of the hypoxia-immune-related prognostic model for estimating the risk in patients with TNBC, and CXCL9, 10, 11, and 13 are potential targets to overcome immune resistance in TNBC.
Conflict Under Incapacitation and Revenge: A Game-Theoretic Exploration
Authors: Mukherjee Puja 
Published: February 2024

Abstract
In real life, winning a conflict sometimes does not end the conflict. Revenge motivations can stay and provide momentum to the conflict, thus leading to further escalation of the conflict. This is known as the value effect or vengeance effect of revenge. However, the presence of revenge can lead to de-escalation of the conflict out of self-deterrence and sometimes retaliation out of revenge is not possible if the combatant is incapacitated. Hence, the impact of revenge on the level of violence is a priori not clear. This paper is an attempt to answer that question. Using a two-period game of conflict this paper tries to show how desire and capabilities of the combatants to exact revenge can influence the intensity of the conflict. This paper shows the following: how the strategies of the combatants are influenced by the value effect of revenge, self-deterrence and incapacitation of the combatants; how the stronger combatant is in a favourable position in the conflict and can prevent its opponent from going into second period conflict out of revenge; when the combatants are equally strong the intensity of the conflict starts falling with time. It also lays out some real-life conflicts and existing empirical work to support the results.
Probing the structural and electronic properties of MAX phases and their corresponding MXenes using first-principles calculations
Authors: Banu Aseema , Padmanaaban Sastipriyaa , Kannan Ramesh , Jose Sujin P. 
Published: February 2024

Abstract
This study delves into the theoretical exploration of the structural and electronic characteristics of 2D monolayer MXenes (M
n + 1X
n
) by the elimination of Al layers from their corresponding MAX-phases, M
n + 1AX
n
(n = 1–3), through meticulous first-principles calculations. The study encompasses structural optimization and the determination of key ground state properties, including equilibrium lattice constants, energy (E
0), and volume (V
0) of both MXenes and their corresponding MAX phases. Consequently, we investigated the comparative study of the electronic properties of M
n + 1AlC
n
(M = Ti, V, or Cr) (n = 1–3) and their MXenes for the first time by calculating the Bader charge analysis (MAX phase only) and the density of states (DOS). The analysis extends to the density of states and Bader charge assessments, facilitating a comprehensive comparison. Remarkably, the MXene monolayer showcases an elevated density of states at the Fermi level compared to its MAX phase counterpart. This disparity stems from the redistribution of 3d electrons near the Fermi level following the removal of Al layers, consequently enhancing electronic conductivity. Cohesive energy and formation energy calculations affirm the structural stability of these compounds. Furthermore, our computed values are meticulously cross-referenced with existing experimental and theoretical data, stimulating the reliability and significance of our findings.
Recurrent neural circuits overcome partial inactivation by compensation and re-learning
Authors: Bredenberg Colin , Savin Cristina , Kiani Roozbeh 
Published: February 2024

Technical advances in artificial manipulation of neural activity have precipitated a surge in studying the causal contribution of brain circuits to cognition and behavior. However, complexities of neural circuits challenge interpretation of experimental results, necessitating new theoretical frameworks for reasoning about causal effects. Here, we take a step in this direction, through the lens of recurrent neural networks trained to perform perceptual decisions. We show that understanding the dynamical system structure that underlies network solutions provides a precise account for the magnitude of behavioral effects due to perturbations. Our framework explains past empirical observations by clarifying the most sensitive features of behavior, and how complex circuits compensate and adapt to perturbations. In the process, we also identify strategies that can improve the interpretability of inactivation experiments.Significance StatementNeuroscientists heavily rely on artificial perturbation of the neural activity to understand the function of brain circuits. Current interpretations of experimental results often follow a simple logic, that the magnitude of a behavioral effect following a perturbation indicates the degree of involvement of the perturbed circuit in the behavior. We model a variety of neural networks with controlled levels of com­plexity, robustness, and plasticity, showing that perturbation experiments could yield counter-intuitive results when networks are complex enough-to allow unperturbed pathways to compensate for the per­turbed neurons-or plastic enough-to allow continued learning from feedback during perturbations. To rein in these complexities we develop a Functional Integrity Index that captures alterations in network computations and predicts disruptions of behavior with the perturbation.
Human Motor Neurons Elicit Pathological Hallmarks of ALS and Reveal Potential Biomarkers of the Disease in Response to Prolonged IFNγ Exposure
Authors: Chun Changho , Lee Jung Hyun , Bothwell Mark , Nghiem Paul , Smith Alec S.T. , Mack David L. 
Published: February 2024

Amyotrophic lateral sclerosis (ALS) is a debilitating neurodegenerative disorder marked by progressive motor neuron degeneration and muscle denervation. A recent transcriptomic study integrating a wide range of human ALS samples revealed that upregulation of p53, a downstream target of inflammatory stress, is commonly detected in familial and sporadic ALS cases by a mechanism linked to TDP-43 dysfunction. In this study, we show that prolonged IFNγ treatment of human iPSC-derived spinal motor neurons results in severe cytoplasmic aggregation of TDP-43. Either TDP-43 dysfunction resulting from IFNγ exposure or from an ALS-associated TDP-43 mutation was associated with activation of the p53 pathway. This was accompanied by hyperactivation of neuronal firing, followed by the complete loss of their electrophysiological function. Through comparative single-cell transcriptome analysis, we have identified significant alterations in ALS-associated genes in motor neurons exposed to IFNγ, implicating their direct involvement in ALS pathology. Interestingly, IFNγ was found to induce significant levels of PD-L1 expression in motor neurons without affecting the levels of any other immune checkpoint proteins. This finding suggests a potential role for excessive PD-L1 expression in ALS development, given that PD-L1 was recently reported to impair neuronal firing ability in mice. Our findings suggest that exposing motor neurons to IFNγ could directly derive ALS pathogenesis, even without the presence of inherent genetic mutation or functional glia component. Furthermore, this study provides a comprehensive list of potential candidate genes for future immunotherapeutic targets with which to treat sporadic forms of ALS, which account for 90% of all reported cases.Significance statementALS is currently an incurable neurodegenerative disease that primarily damages motor function. 90% of the reported cases have unknown reasons, but their progression is extremely fast once triggered. A pathologic hallmark of ALS is an aggregation of RNA/DNA binding protein, TDP-43, but its pathologic link to the disease is yet to be elucidated. In this study, we found the Interferon-gamma (IFNγ), an immune-derived cytokine activates p53 pathway which appears in common in post-mortem ALS tissue. Importantly, IFNγ triggered a significant cytoplasmic TDP-43 aggregation and impaired electrophysiological function of human motor neurons. Furthermore, we found that ALS risk genes related to the mitochondrial dysfunction are aberrantly expressed under the IFNγ exposure, which constitutes potential therapeutic targets of immune-dysregulated neurodegeneration in ALS.
Relationship between maternal obesity and first-trimester TSH in women with negative anti-TPO antibodies
Authors: Croce Laura , Beneventi Fausta , Ripepi Federica , De Maggio Irene , Malovini Alberto , Bellingeri Camilla , Coperchini Francesca , Teliti Marsida , Rotondi Mario , Spinillo Arsenio , Magri Flavia 
Published: February 2024

Objective
Obesity is associated with increased thyroid-stimulating hormone (TSH) in non-pregnant subjects, but this phenomenon has not been fully characterized during pregnancy. Our aim was to evaluate the impact of BMI on first-trimester TSH in a wide cohort of pregnant women with negative anti-thyroperoxidase antibodies (AbTPO) and its implications on uterine artery pulsatility index (UtA-PI), a marker of early placentation.

Methods
The study included 2268 AbTPO-negative pregnant women at their first antenatal visit. Anamnestic data, BMI, TSH, anti-nuclear antibody (ANA) and extractable nuclear antigen (ENA) positivity and mean UtA-PI were collected.

Results
A total of 1693 women had normal weight, 435 were overweight and 140 were obese. Maternal age, ANA/ENA positivity, history of autoimmune diseases and familiar history of thyroid diseases were similar in the three groups. TSH was significantly higher in obese women (1.8 (IQR: 1.4–2.4) mU/L) when compared to normal weight (1.6 (IQR: 1.2–2.2) mU/L) and overweight (median: 1.6 (IQR: 1.2–2.2) mU/L) ones (P < 0.001). BMI was significantly related with the risk of having a TSH level ≥4 mU/L at logistic regression, independently from non-thyroid autoimmunity, smoking or familiar predisposition for thyroid diseases (OR: 1.125, 95% CI: 1.080–1.172, P < 0.001). A restricted cubic splines regression showed a non-linear relationship between BMI and TSH. Women with a TSH ≥4 mU/L had a higher UtA-PI, independently from BMI.

Conclusion
Overweight/obesity is significantly related with TSH serum levels in AbTPO-negative pregnant women, independently from the other risk factors for hypothyroidism during pregnancy. The increase of TSH levels could be clinically relevant, as suggested by its association with abnormal UtA-PI, a surrogate marker of abnormal placentation.
Síntesis de óxido de Titanio (IV) dopado con tierras raras para la remoción de Cianuro
Authors: León Ricardo , León Wilson , San Martin Delly , Valverde Sergio 
Published: February 2024

En este trabajo se presenta la síntesis de Oxido de Titanio (IV) dopado con tierras raras para remoción de cianuro en sistemas acuosos. La síntesis se realizó por el método Sol-gel a partir de un precursor orgánico de Titanio que nos permite obtener la fase anatasa; se obtuvieron 4 materiales uno puro y 3 dopados con Lantano, Cesio y Europio al 1% de concentración molar respectivamente. Los materiales obtenidos se caracterizaron por Difracción de rayos x, Fluorescencia de rayos x, Espectroscopia infrarroja y Microscopia. A cada material de evaluó el porcentaje de remoción de cianuro aplicando una dosis de 1g/L de material a una solución acuosa de 40 mg/L de CN- con ayuda de un reactor con lampara UV que favorece la fotocatálisis y flujo continuo de la solución durante 120 min, cada 20 min se determinó la concentración de CN- para ello se validó un método espectrofotométrico en UV, que consistía en reaccionar la solución problema con Picrato sódico para obtener una coloración naranja rojizo.
Finalizado los tratamientos se pudo evidenciar la remoción de CN-, siendo más significativo con el TiO2.Ln 1%.
تنفيذ إستراتيجية التعليم Group To Group Exchange "تبادل المجموعات" لترقية نشاط ونتائج تعلم طلاب
Authors: Ramli Lalu Abdul Aziz , Majid Agung Nurcholis , Rahmanudin Ii 
Published: February 2024

Purpose-This study aims to determine the increase in learning activeness and learning outcomes of 5th grade students in Nahwu material through the Group To Goup Exchange Learning Strategy.
Design/Metodology/ Approach-This type of research is a Classroom Action Research (PTK). The number of students in class 5 is 16 students, while the object in this study is the application of the Group To Group Exchange Learning Strategy to improve student activeness and learning outcomes in Nahwu subjects. To obtain the necessary data, this study used interviews, observations, tests, and documentation. And analyze it with several indicators that have been formulated by the researcher.
Findings-The results of this study are as follows: 1) that the application of the Group To Group Exchange Learning Strategy can increase student learning activeness in 5th grade Nahwu material at the al-ikhlas al-islamy Kaliaji Islamic boarding school in Central Lombok. In cycle I, active students were 6 students out of 16 students or 37.5% of the total number of students, while in cycle II active students were 16 students out of 16 students or 100% of the total number of students, so the increase in active students in cycle I and II was 10 students or 62.5%. 2) the application of the Group To Group Exchange Strategy can improve student learning outcomes in 5th grade Nahwu material at the al-ikhlas al-islamy Kaliaji Islamic boarding school in Central Lombok. In cycle I, there were 7 students who had reached the KKM out of 16 students or 43.75%, then the increase in student learning outcomes in cycles I and II was 9 students or 56.25% who had reached the KKM score of the total number of students.
Research limitation- Therefore, the Group To Group Exchange Strategy can be used in learning Arabic to the increase in learning activeness and learning outcomes
Peer Support Groups Integrated with Trauma-Sensitive Yoga for Women Survivors of Sexual Violence: A Feasibility Study and Qualitative Examination
Authors: Wehrmann Rowan , Dietrich Kelsey M. , Nguyen-Feng Viann N. 
Published: February 2024

Abstract
Trauma Center Trauma-Sensitive Yoga (TCTSY) is an evidence-based yoga protocol and approach used for somatic trauma care. Seven women participated in a 12-week TCTSY-integrated peer support group for sexual violence survivors at a community rape crisis center. Three semi-structured interviews were conducted: interview 1 at 1–2 months post-group, interview 2 at 8–9 months post-group, and interview 3 at 24–33 months post-group. Thematic analysis was conducted following Clandinin and Connelly's three-dimensional space approach. Participants described themes related to improvements in trauma symptoms, mind-body connection, present-centered awareness, self-regulation, and relationships with self and others. Changes were sustained at the final interview. TCTSY-integrated peer support groups appeared feasible and acceptable to women victim-survivors of sexual violence.
Essential T-Goldie-Supplemented Modules
Authors: Firas Sh. Fandi Firas Sh. Fandi 
Published: February 2024

In our work, we defined Essential T--equivalent is relation between two submodules of a module N. A submodules K and H of a modules N are Essential- T- equivalent (K H), if and , for some . We give many characterizations of the relation equivalent. So, we defined the Essential T- Goldie* lifting Modules and we give many properties related with this type. Keyword: ET-small submodule, Essential T-lifting module, Essential T-Goldie*lifting modules
People-Place Dilemma: The Challenge for Anchor Networks in Legacy Cities
Authors: Swanstrom Todd , Ukpabi Ifeanyi , Johns-Wolfe Elaina 
Published: February 2024

Anchor movements rest on the premise that people- and place-based initiatives can be mutually reinforcing. The community development movement, however, has been haunted for years by the people-place dilemma – the idea that efforts to help people harm efforts to uplift places and vice versa. This article examines the people-place dilemma through a case study of the St. Louis Anchor Action Network (STLAAN), a collaboration of 16 anchor institutions. St. Louis is a classic legacy city that once enjoyed rapid growth but is now characterized by falling population size and high poverty. The heart of the people-place dilemma in legacy cities is that efforts to help people in disinvested communities may enable them to move somewhere else, leaving behind poorer communities. We document longstanding trends that have drained STLAAN’s focus geography of people and resources, as well as more recent growth of an “eds and meds” economy that presents an opportunity to address decades of disinvestment and decline. We examine STLAAN’s efforts to invest in its focus geography and the people who live there, drawing lessons for anchor work, especially in legacy cities. Our research underscores the importance of data, social commitments, community engagement, and research.
Application of machine learning constructs to predict post-operative complications and adverse events following shoulder hemiarthroplasty
Authors: Dasari Prathyusha , Rice Richard C. , Cabrera Andrew , Kricfalusi Mikayla , Case Trevor , Gulbrandsen Matthew T. , Brown Jeremy , Phipatanakul Wesley P. 
Published: February 2024

Background: Artificial intelligence (AI) constructs and machine learning (ML) algorithms have demonstrated utility in predicting various clinical, surgical, and financial outcomes. In this study, we applied AI to shoulder hemiarthroplasty (HA) to predict various post-operative complications.
Methods: The sample was queried from the American college of surgeons-national surgical quality improvement program (ACS-NSQIP) database for all shoulder HA cases from 2008-2018. Six ML algorithms-random forest classifier, gradient boosting classifier, decision tree classifier, SVM classifier-tuned model, Gaussian Naïve Bayes classifier, multi-layer perception-analyzed the sample dataset. Postoperative complications included extended length of stay, non-home discharge destination, transfusion, and any adverse event. Each ML model was compared to logistic regression (LR), and model strength was evaluated.
Results: We identified a total of 1585 shoulder HA cases. Mean age, BMI, operative time, and length of stay were 66±12 years, 31±8 kg/m2, 114±61 minutes, and 2.93±6.61 days. Preop hematocrit, longer operative time, and older age were most predictive of extended length of stay. Preop hematocrit, operative time, and ASA class had the highest importance in any adverse events (AAE) prediction. ML models outperformed traditional comorbidity indices, LR, for predicting extended length of stay (79% vs. 66%), non-home discharge destination (79% vs. 65%), any adverse event (78% vs. 66%), and transfusion requirement (82% vs. 63%).
Conclusions: ML algorithms predicted post-surgical outcomes of interest following shoulder HA at a higher rate to conventional LR and can assist orthopedic surgeons in decision making.
Meniscus tears and repair: assessing failure rates of all-inside and outside-in methods
Authors: Bliznikas Kęstutis , Lukoševičiūtė Gintarė , Dauderytė Barbora 
Published: February 2024

Meniscal repair procedures are on the rise due to an enhanced understanding of the adverse long-term effects associated with the loss of meniscal tissue. Although meniscal repair has a higher reoperation rates compared to meniscectomy, recent systematic reviews indicate improved long-term outcomes with meniscal repair. Even though there are a lot of studies that compare the results of all-inside and inside-out techniques there are only few that evaluate all-inside and outside-in approaches. This study aims to review the relevant literature on the epidemiology, mechanism of injury, clinical presentation and imaging of meniscus and to compare the failure rates and time to failure of AI and OI meniscal repairs. PubMed and Scopus were searched for studies published between January 2014 and January 2024 reporting on meniscus repair outcomes using “outside-in” or “all-inside” techniques with a minimal duration of 6 months for follow-up. Failure was characterized as the recurrence of clinical symptoms or the need for a meniscal reintervention. Over 50 English-language articles were analyzed between 2000 and 2022. After conducting a review and data analysis, it is observed that the “all-inside” technique is more frequently chosen as a treatment method, possibly due to its simpler execution. Both total and percentage rates of failures are higher using this technique, amounting to 79 cases and reaching 16%, compared to “outside-in” approach, which is less commonly chosen, but has lower frequency of failures totaling 6 cases and 5%.