bluuebunny/crossref_metadata_2025_split huggingface dataset:
Why Evolutionary Psychology Is Not Feminist: Assessing the Core Values and Commitments of the Evolutionary Study of Gender Differences
Authors: Somcutean Cristina 
Published: January 2024

Abstract
Evolutionary psychology (EP) theorizes that contemporary women and men differ psychologically, particularly in mating and sexuality. It is further argued that EP research on gender-specific psychological differences is compatible with feminist perspectives. This paper analyzes if integrating EP scholarship on gender differences into feminist scholarship is possible by investigating EP’s core scientific commitments. I will argue that EP’s theories, hypotheses, and empirical findings that pertain to the study of gender do not align with its core values based on Longino’s feminist theoretical virtues as outlined in the 1996 article “Cognitive and Non-Cognitive Values in Science: Rethinking the Dichotomy.” I employ feminist theoretical virtues as tools for revealing how certain theories, models, and hypotheses rely upon, promote contentious norms, and suppress gender. I will defend the thesis that EP theories, hypotheses, and empirical findings are often empirically inadequate, androcentric, and ontologically too homogeneous. Further, EP employs single-factor control models, has no straightforward practical application, and might even be politically dangerous. These characteristics challenge a successful integration of EP into feminism.
Uniqueness of exponential polynomials
Authors: Wang Ge , He Zhiying , Fang Mingliang 
Published: January 2024

Abstract
In this article, we study the uniqueness of exponential polynomials and mainly prove: Let

n

n

be a positive integer, let

p

i

(

z

)

(

i
=
1
,
2
,
…
,
n

)

{p}_{i}\left(z)\hspace{0.33em}\left(i=1,2,\ldots ,n)

be nonzero polynomials, and let

c

i

≠
0

(

i
=
1
,
2
,
…
,
n

)

{c}_{i}\ne 0\hspace{0.33em}\left(i=1,2,\ldots ,n)

be distinct finite complex numbers. Suppose that

f

(

z

)

f\left(z)

is an entire function,

g

(

z

)

=

p

1

(

z

)

e

c

1

z

+

p

2

(

z

)

e

c

2

z

+
⋯
+

p

n

(

z

)

e

c

n

z

g\left(z)={p}_{1}\left(z){e}^{{c}_{1}z}+{p}_{2}\left(z){e}^{{c}_{2}z}+\cdots +{p}_{n}\left(z){e}^{{c}_{n}z}

. If

f

(

z

)

f\left(z)

and

g

(

z

)

g\left(z)

share

a

a

and

b

b

CM (counting multiplicities), where

a

a

and

b

b

are two distinct finite complex numbers, then one of the following cases must occur:

(i)

n
=
1

n=1

.

If

a
≠
0

a\ne 0

,

b
=
0

b=0

, then either

f

(

z

)

≡
g

(

z

)

f\left(z)\equiv g\left(z)

or

f

(

z

)

g

(

z

)

≡

a

2

f\left(z)g\left(z)\equiv {a}^{2}

;

If

a
=
0

a=0

,

b
≠
0

b\ne 0

, then either

f

(

z

)

≡
g

(

z

)

f\left(z)\equiv g\left(z)

or

f

(

z

)

g

(

z

)

≡

b

2

f\left(z)g\left(z)\equiv {b}^{2}

;

If

a
≠
0

a\ne 0

,

b
≠
0

b\ne 0

, then either

f

(

z

)

≡
g

(

z

)

f\left(z)\equiv g\left(z)

or

f

(

z

)

g

(

z

)

≡

(

a
+
b

)

g

(

z

)

−
a
b

f\left(z)g\left(z)\equiv \left(a+b)g\left(z)-ab

.

(ii)

n
≥
2

n\ge 2

,

f

(

z

)

≡
g

(

z

)

f\left(z)\equiv g\left(z)

.

This is an extension of the result obtained in an earlier study on meromorphic functions in 1974.
Study on the influence of in-mold sequential injection molding process parameters on mechanical properties of self-reinforced single composites
Authors: Lu Yong , Wang Chen 
Published: January 2024

Abstract
In this paper, the self-reinforced single polymer composites (SR-SPCs) with different mechanical properties were obtained by compound injection molding technology, and the micro-morphology of these samples was observed. Then, using structured statistical methods, analysis of variance, and response surface methodology, study the effects of various molding variables on material morphology and properties and determine the most important molding variables and their interactions. Finally, the associated experimental data are fitted by the least squares minimization program, and the relevant dimensionless equations are obtained. The purpose is to objectively analyze the influence mechanism of molding parameters on SR-SPCs and establish a mechanism model. It was found that temperature change was the most important factor affecting the morphology and mechanical properties. The degree of molecular orientation is the most important factor to determine the tensile strength and elastic modulus of the sample. The change of crystallinity is the most important factor related to the elongation at break. By establishment relevant dimensionless equations, the influence of molding parameters on the mechanical properties of SR-SPCs, such as tensile strength and elastic modulus, was preliminarily studied.
Multivariable Regression 3D Failure Criteria for In-Situ Rock
Authors: Mahetaji Mohatsim , Brahma Jwngsar , Kumar Vij Rakesh 
Published: January 2024

Wellbore stability problems increase with the exploration and development of oil and gas reservoirs. A new 3D non-linear failure criterion is proposed as a trigonometric function considering the intermediate principal stress (2) on the triaxial compression test data. Mohr-Coulomb and Hoek-Brown are well-known failure criteria, but they do not consider the influence of (2) on rock strength. This new criterion produces a concave surface on the principal stress space (1,2, 3) with the influence of intermediate principal stress. In this study, sensitivity analysis for the variable is also done to understand the significant influence of parameters on the accuracy of the proposed criterion. Further validation of this non-linear criterion on three principal stresses (1,2, 3) was done compared with linear regression and second-degree polynomial regression results. It has been observed that the new non-linear 3D criterion with five material parameters reveals a good fit compared to linear regression and second-degree polynomial regression, which have four and six material parameters, respectively. The new non-linear criterion was further validated by comparison with existing criteria like the Priest, Drucker-Prager, and Mogi-Coulomb. It has been observed that the new 3D non-linear criterion shows a more accurate result than these existing criteria as certain rock types exhibit coefficient of determination (DC) values near one, precisely 0.95 for inada granite, 0.94 for orikabe monzonite, and 0.91 for KTB amphibolite. In contrast, other rock types have DC values ranging from 0.7 to 0.9. The new 3D non-linear criterion also yields lower root means square error (RMSE) values than the Mogi-Coulomb criterion for seven rock types. Specifically, the RMSE values by the new criterion are as follows: KTB amphibolite - 40.03 MPa, Dunham dolomite - 15.16 MPa, Shirahama sandstone - 9.08 MPa, Manazuru andesite - 22.14 MPa, Inada granite - 35.47 MPa, and Coconino sandstone - 19.047 MPa. This new 3D criterion gave precise predictions of the failure of the formation under in-situ stresses and was further helpful for the simulation of the wellbore in the petroleum industry. The variable in the new 3D criterion should be calculated from triaxial compression test data for each formation rock before applying this criterion to the wellbore stability problem and the sand production problem.
Dispen-ku Android-Based Application: Assisting Religious Court Judges in Deciding for Marriage Dispensation
Authors: Zuhriah Erfaniah , Mayasari Lutfiana Dwi , Rahmawati Erik Sabti , Razak Abdul Qayuum Bin Abdul , Sukadi Imam 
Published: January 2024

The high rate of child marriage in Indonesia following the marriage dispensation procedure demands an application to help judges decide the proposals accurately and effectively. This 4D development model research aims to create a standard reference in making decisions regarding the dispensation of marriage proposals using an application. The first stage is defining variables used at the application as measurement, the second stage is designing, namely the process of preparing a conceptual framework in the form of technological innovation, the third stage is developing technological innovation and the fourth stage is disseminating, namely the use of an application. At the defining stage, the variables to measure the level of urgency in granting the marriage dispensation include Social, Partnership Role, Financial, Spiritual, and Reproductive or Sexual Readiness. At the designing stage, the Dispen-Ku application is created using Kodular, a website that provides tools for creating Android applications using block programming. In the disseminating stage, the Dispen-ku application which has been uploaded to the Playstore page is distributed to research subjects, namely two judges in Religious Courts.
Family Transformation as a Source of Early Childhood Character Education (Bandura's Social Cognitive Theory Perspective)
Authors: Sakti Syahria Anggita 
Published: January 2024

<em>The purpose of this research is to describe the shift of the family in its function as the main pillar in instilling character values in early childhood. The method used in this research is a focused interview method with a qualitative approach. The stages of instilling children's character in the family today are (1) knowledge (knowing), where children are given an understanding of the values, norms, and principles expected in the family. (2) acting, where children need to practice these values in real actions, and (3) habit, where the expected positive characters have been internalized in children so that they automatically and unconsciously act in accordance with these values. Later, this development can be integrated and directed in every school activity. Thus, character education can be well integrated into the school curriculum and extracurricular activities. Through this approach, it is hoped that the goal of character development in children can be achieved more effectively and sustainably. </em>
Can artificial intelligence help decision makers navigate the growing body of systematic review evidence? A cross-sectional survey
Authors: Lunny Carole , Whitelaw Sera , Reid Emma K , Chi Yuan , Zhang Jia He , Ferri Nicola , Kanji Salmaan , Pieper Dawid , Shea Beverley , Dourka Jasmeen , Veroniki Areti Angeliki , Arden Clare L , Pham Ba' , Bagheri Ebrahim , Tricco Andrea C 
Published: January 2024

Abstract
Background Systematic reviews (SRs) are being published at an accelerated rate. Decision makers may struggle with comparing and choosing between multiple SRs on the same topic. We aimed to understand how healthcare decision makers (e.g., practitioners, policymakers, researchers) use SRs to inform decision making, and to explore the role of a proposed AI tool to assist in critical appraisal and choosing amongst SRs.Methods We developed a survey with 21 open and closed questions. We followed a knowledge translation plan to disseminate the survey through social media and professional networks.Results Of the 684 respondents, 58.2% identified as researchers, 37.1% as practitioners, 19.2% as students, and 13.5% as policymakers. Respondents frequently sought out SRs (97.1%) as a source of evidence to inform decision making. They frequently (97.9%) found more than one SR on a given topic of interest to them. Just over half (50.8%) struggled to choose the most trustworthy SR amongst multiple. These difficulties related to lack of time (55.2%), or difficulties comparing due to varying methodological quality of SRs (54.2%), differences in results and conclusions (49.7%), or variation in the included studies (44.6%). Respondents compared SRs based on the relevance to their question of interest, methodological quality, recency of the SR search. Most respondents (87.0%) were interested in an AI tool to help appraise and compare SRs.Conclusions Respondents often sought out SRs as a source of evidence in their decision making, and often encountered more than one SR on a given topic of interest. Many decision makers struggled to choose the most trustworthy SR amongst multiple, related to a lack of time and difficulty comparing SRs varying in methodological quality. An AI tool to facilitate comparison of the relevance of SRs, the search, and methodological quality, would help users efficiently choose amongst SRs and make healthcare decisions.
Differentiating benign and malignant neoplasms: A possible new role for coagulation and fibrinolysis indicators
Authors: Zeng Xuan Zhou，Na Tang，Lu , Liu Shuangfeng 
Published: January 2024

Abstract
Background: Abnormal coagulation and fibrinolysis are often observed in malignant tumors, which are closely related to the invasiveness of tumors. The aim of this study was to investigate the potential use of coagulation and fibrinolysis markers for differentiating between benign and malignant tumors.
Methods: The levels of PT, APTT, TT, FIB, FDP, and D-dimer were analyzed in primary tumors (208 benign and 243 malignant) prior to biopsy or treatment. Additionally, a control group consisting of 400 healthy volunteers was included.
Results:Significantly higher levels of PT, FIB, FDP and D-dimer were found in the malignant tumor group compared with both the benign tumor group and control group (P＜0.01). Multivariate logistic regression analysis showed that FIB was an important predictor of malignancy.The AUCs for FIB and D-dimer in differential diagnosing malignant tumors were 0.757（95% CI:0.692~0.821)and 0.790(95% CI:0.727~0.853), respectively. - both exceeding 0.75; their specificities for detecting malignancy were also high at 88.33% and 81.67%, respectively; while their positive predictive values reached up to 92.93% and 90.68%, respectively. The thresholds for the identification of malignant patients using the Youden index and were determined to be 3.185, and 0.335, respectively. The multivariate analysis indicated that FIB (≥3.185) (OR: 6.021, 95% CI: 2.290-15.828, P<0.001) and DD (≥0.335) (OR: 4.139, 95% CI: 1.420-12.060, P<0.01) demonstrated significant differences with the lower group.Furthermore, the combined detection of PT,FIB,D-dimer,and FDP could achieve an even higher diagnostic accuracy with AUCs was 0.834;specificities for detecting malignancy were 88.33%,while their positive predictive values were 93.58%. Finally, a combination factor involving these markers could provide valuable assistance in distinguishing between benign and malignant tumors.
Conclusion: FIB(≥3.185) and D-dimer (≥0.355) alone and PT, FIB, FDP and D-dimer in combination are more suitable for the differential diagnosis of benign and malignant tumors.
Prenatal valproic acid on the basis of gestational diabetes also induces autistic behavior and disrupts myelination and oligodendroglial maturation slightly in offspring
Authors: Zhou Jiyin , Li Maolin , Qiao Zhifei , Li Jizheng , Zhou Hongli , Huang Dong , Cain Yan , Li Xiaolong , Zhang Zuo , Zhou Jianyun 
Published: January 2024

Abstract
Gestational diabetes mellitus (GDM) and prenatal exposure to valproic acid (VPA) are both constitute risk factors for autism in progeny. Notably, dysmyelination in the corpus callosum serves as a prominent element connecting GDM and autism in the white matter lesions.
Objective: the cumulative effects of GDM and prenatal VPA on both autistic behavior and dysmyelination in progeny have been researched in this study.
Methods: In vivo, female mice exhibiting leptin receptor deficiencies and maintained on a high-fat diet were utilized to create GDM models, to which prenatal VPA was administered. In vitro, oligodendrocyte precursor cells (OPCs) was treated with VPA in the high-fat and high-glucose culture.
Results: the offspring subjected to both GDM and prenatal VPA demonstrated comparable declines in social interaction, myelination, and OPC maturation, akin to those exclusively exposed to VPA. Remarkably, the application of clemastine facilitated remyelination, ameliorated autistic behaviors, and promoted the OPCs progression. Furthermore, the compromised myelination and OPC maturation instigated by the combination of GDM and prenatal VPA were found to be less severe compared to those precipitated by VPA alone. This differential impact can be attributed to the opposing influences of GDM and VPA on gamma-aminobutyric acid receptor activation in OPCs, extracellular regulated protein kinases (ERK) phosphorylation in OPCs, and the modulation of histone deacetylase 3 and dual specificity phosphatase 5 expression.
Conclusions: we delineate the antagonistic effects of GDM and prenatal VPA on ERK phosphorylation in fetal OPCs, consequently altering its proliferation and differentiation, thereby culminating in milder dysmyelination and autistic behaviors.
MSCMN : Multi-scale convolutional modulation network for atrial fibrillation detection from a single-lead electrocardiogram
Authors: Qiu Rongjian , Lu Jun , Feng Yuxuan , Xie Shengli , Hu Changming 
Published: January 2024

Abstract
The development of wearable sensor technology has made the acquisition of continuous single-lead electrocardiogram (ECG) data more convenient and accessible. Atrial fibrillation (AF) detection in a single-lead ECG wave is becoming a popular research topic. However, it is challenging due to the following issues: 1) the AF signal is weak and frequently disturbed by nonstationary noises; 2) both AF and non-AF rhythms have various morphologies; and 3) a single-lead ECG lacks spatial correlation information on the electrical movement of the heart. To solve these issues, we propose a multi-scale convolutional modulation network (MSCMN) composed of stacked modulators and converters. The modulator achieves an efficient self-attention mechanism that adaptively suppresses the noises by computing the Hadamard product between the multi-scale nonlinear convolutional features and the linear channel mixing features. The converter, which consists of two partial convolutional layers and one linear layer, is used to capture ECG temporal dependency and cross-channel correlation among the modulated features. Furthermore, because AF rhythms exhibit irregular R-R intervals, we employ an early fusion of R-peak position encoding and ECG waveforms to enhance feature extraction. We conducted extensive experiments on three public datasets. The results consistently validate the eﬀectiveness of the proposed MSCMN in detecting AF from a single-lead ECG.
Field Studies of Synthetic Food-Based Attractants for Detecting Invasive Fruit Flies (Diptera: Tephritidae)
Authors: Shelly Todd , Fezza Thomas 
Published: January 2024

Abstract
A number of true fruit fly species (Diptera: Tephritidae) threaten the production and international trade of many commercially important fruit and vegetable crops. Many fruit fly-free regions operate continuous trapping programs for the detection of these invasive pests. Food baits are an important component of detection trapping as they are general attractants that are neither sex- nor species-specific. A torula yeast-borax solution has been widely used as a food bait, but it has a relatively short field longevity and is generally replaced every 1–2 weeks. Dry synthetic food-based attractants, consisting of ammonium acetate, putrescine, and trimethylamine, have been developed and appear effective for several months in the field. Initially, the three components were presented in individual sachets within a trap, but to ease handling ‘all-in-one’ dispensers have been developed that contain all three components. While a logistical improvement, there are few data that directly compare captures between the standard torula yeast-borax solution and these combination dispensers. The present paper presents the results of several field experiments assessing the relative effectiveness of three ‘all-in-one’ dispensers of synthetic food-based attractants in trapping three major pest species of tephritid fruit flies in Hawaii. Food cone and BioLure Unipak dispensers were significantly less attractive than the torula yeast-borax mixture for all target species, while captures of the Mediterranean fruit fly were similar in traps baited with TMA TRI Difusor sachets or the torula yeast-borax solution.
Variable time delay based Granger causality approach integrated with dynamic coupling analysis for root cause diagnosis in chemical processes
Authors: Li Yuting , Yang Xu , Huang Jian , Gao Jingjing 
Published: January 2024

Abstract

Due to the dynamic characteristics of chemical industry systems, the time delay tends to be variable, which leads to changes in coupling intensity. This is contrary to the assumptions in causal analysis, where the time delay and coupling are typically assumed to be fixed. In this article, a new causal analysis framework that integrates Granger causality with dynamic coupling analysis based on variable time delay is proposed, which not only fully considers the variable time delay in dynamic processes, but also studies the dynamic change of coupling intensity. Firstly, the moving window is used to explore real-time variations in average mutual information to obtain the variable time delay. Then by further analyzing the normal data, the dynamic coupling relationship caused by continuous changes in time delay is distinguished. On this basis, the extended Granger causality and convergent cross mapping are integrated to relax their assumptions of fixed time delay and coupling. Finally, the direction of fault propagation is guided by the results of causal analysis. The effectiveness of proposed mothed is demonstrated by chemical industry case studies.
Clinical outcomes of patients with bipolar disorder in the manic phase on valproate and olanzapine versus valproate and risperidone
Authors: P Anusree , Menon Bindu , Reghu Remya 
Published: January 2024

Abstract
Purpose
Previous studies have shown that combining mood stabilizers and atypical antipsychotics is more effective than either treatment alone in bipolar disorder. The comparison of the two combinations is limited. We aim to compare the efficacy and adverse drug reactions of valproate plus olanzapine or risperidone combination treatment in the bipolar disorder, manic phase.
Method
In this 4-week study, 60 patients with DSM-V bipolar disorder in the psychotic manic phase were included and divided into either valproate plus olanzapine (n = 30) or risperidone (n = 30). The primary outcome was measured by the difference in mean total scores on the Young Mania Rating Scale (YMRS) and the Positive and Negative Syndrome Scale (PANSS). The secondary outcome for adverse effects was measured using the Naranjo ADR Probability Scale. The mean values obtained at weeks 0, 2, and 4 were compared.
Results
In our study, the mean difference in YMRS scores from baseline to week 4 in the olanzapine and risperidone groups was 13.9331.202 and 10.7671.164, respectively. These scores manifest significant changes within and between groups (p = < 0.001). A greater reduction was observed in the olanzapine group. There was no trend in the reduction of PANSS mean values between the groups, but a significant difference within the groups. However, a reduction was noted in the risperidone group. Adverse effects were observed more frequently during co-therapy with risperidone. Although, weight gain was notable in the olanzapine group.
Conclusion
All the results of our study showed that olanzapine in combination with valproate has slightly higher efficacy than risperidone.