bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impacto del confinamiento por la pandemia por COVID-19 en ansiedad, depresión y estrés en niños y adolescentes de México
Authors: Gutiérrez Rayas Q.V. , González A. P. , Mercado Villegas M.B. , Sosa Bustamante G.P. , Paque Bautista C. , Ruiz Jaramillo M. 
Published: November 2023

Introducción: El COVID-19, ha sido percibido en todo el mundo como una gran amenaza para la salud, afectando la vida de las personas al influir en el comportamiento cotidiano y provocando sentimientos de ansiedad, depresión y a menudo desencadenando temor intenso.
Objetivo: Conocer el impacto del confinamiento por la pandemia por COVID 19 en ansiedad, depresión y estrés en niños y adolescentes de México. Métodos: Se realizó un estudio observacional, analítico, transversal, prospectivo, en la población pediátrica entre 6 y 15 años y 11 meses, de ambos sexos, que acudieron a la Unidad Médica de Alta Especialidad Número 48, Hospital de Gineco-Pediatría en el periodo comprendido entre mayo de 2020 y mayo del 2021, previo a la vacunación contra COVID-19 y con la aplicación del cuestionario Escala de Ansiedad, Depresión y Estrés (DASS 21), Versión Juvenil (DASS-Y). Resultados: Se analizaron 380 niños de 6 a 15 años y 11 meses, con mediana de edad de 13 años, 208 (54,74%) chicas y 172 (45,26%) chicos. Según el cuestionario DASS-Y, la depresión se presentó en 71 (18,69%), ansiedad en 47 (12,37%) y estrés en 45 (11,87%). Los síntomas respiratorios en los últimos 14 días fueron factor asociado a ansiedad [OR, 2,57 (IC del 95%, 1,38 – 4,78), p 0,002] y a depresión [OR, 1,90 (IC del 95%, 1,12 – 3,23), p 0,01]; el tipo de familia no nuclear resultó ser un factor de riesgo para depresión [OR, 1,69 (IC del 95%, 1,00 – 2,88), p 0,03]. Estrés y ansiedad fueron predictores de depresión (Intercepto -0,70, EE 0,12, R2 = 0,37, p <0,0001). Conclusiones: Este estudio muestra el impacto significativo del confinamiento en el estado de salud mental, en niños y adolescentes de México que acudieron a consulta durante la pandemia por COVID-19.
Pengaruh Pengawasan Terhadap Disiplin Kerja Pegawai Pada Dinas Koperasi, UKM Provinsi Sumatera Selatan
Authors: Riskal  , Mulyani Agus , Rismansyah  
Published: November 2023

ABSTRACT

This study aims to determine "The Effect of Supervision on Employee Work Discipline at the Office of Cooperatives, SMEs in South Sumatra Province". The benefits of research can provide input to the Office of Cooperatives, UKM of South Sumatra Province. The hypothesis is a temporary answer to the research objectives derived from the framework that has been made. The method used is a quantitative method. The population in this study, namely all employees at the Cooperative Service, UKM Province of South Sumatra, totaled 92. The sample in this study used a census. Data collection techniques consist of questionnaires and documents. The test technique for instrument variables X and Y uses construction variables whose contents are items that will be measured based on theory, normality test, validity test, reliability test. The data analysis technique that the author uses is quantitative data analysis technique, namely. Simple linear regression and t test. Variable (X) = 0 units, then (Y) is the value a = 16.625 units. Meanwhile, the regression value b = 0.516 means that if the X variable (supervision) increases by 1 unit, then the Y variable (employee work discipline) increases by b = 0.516 units. Therefore the Office of Cooperatives, UKM of South Sumatra Province needs to pay serious attention to supervision so that it can improve employee work discipline.

Keywords : Financial Performance, Financial Ratio, PSAK72

ABSTRAK

Penelitian ini bertujuan untuk mengetahui “Pengaruh Pengawasan Terhadap Disiplin Kerja Pegawai Pada Dinas Koperasi, UKM Provinsi Sumatera Selatan”. Manfaat penelitian dapat memberi masukan kepada Dinas Koperasi, UKM Provinsi Sumatera Selatan. Hipotesis merupakan jawaban sementara terhadap tujuan penelitian yang diturunkan dari kerangka pemikiran yang telah dibuat. Metode yang digunakan adalah metode kuantitatif. Populasi dalam penelitiaan ini yaitu seluruh pegawai pada Dinas Koperasi, UKM Provinsi Sumatera Selatan berjumlah 92. Sampel dalam penlitian ini menggunakan sensus, sensus adalah teknik penentu sampel bila semua anggota populasi digunakan sebagai sampel, sempal yang ditetapkan 92 orang. Teknik pengumpulan data terdiri dari kuisioner dan dokumen. Teknik uji coba instrument variabel X dan variabel Y menggunakan variabel kontruksi yang isinya merupakan butir-butir yang akan diukur dengan berdasarkan teori, Uji normalitas, uji validitas, uji reliabilitas. Teknik analisis data yang penulis gunakan yakni teknik analisis data kuantitatif yaitu. Regresi linier sederhana dan uji t. Variabel (X) = 0 satuan, maka (Y) sebesar nilai a = 16,625 satuan. Sedangkan regresi nilai b = 0,516 berati jika variabel X (pengawasan) meningkat 1 satuan, maka variabel Y (disiplin kerja pegawai) meningkat sebesar yaitu b = 0,516 satuan. Maka dari itu Dinas Koperasi, UKM Provinsi Sumatera Selatan perlu memperhatikan dengan serius mengenai pengawasan supaya dapat meningkatkan disiplin kerja pegawai.

Keywords : Financial Performance, Financial Ratio, PSAK72
Antitumor activity of chitin-glucan complex of basidiomycetes
Authors: Razin Alexander , Vorobeychikov E V , Konusova V G , Shamtsyan M M , Murzina V E , Volkov Y M 
Published: November 2023

Background:High-molecular β-D-glucans of basidiomycetes modify the immune response and indirectly affect antitumor mechanisms by stimulating the activity of various immune cells and signaling pathways. However, the severity of the immune activity of β-D-glucans depends on many factors, which indicates the need to study them to obtain standardized agents of various pathogenetic directions. Objective:Evaluation of the antitumor activity of the chitin-glucan complex in the form of aqueous suspensions obtained from the fungi Ganoderma lucidum, Grifola frondosa, and Phallus impudicus using the Ehrlich adenocarcinoma (ACE) model.Methods:The work was carried out on male F1(C57Bl×CBA) hybrid mice. Animals were transplanted subcutaneously with ACE at a dose of 106 cells in 0.5 ml of Hank's solution. Animals were given prophylactic oral administration of suspensions of fungi for 10 days before inoculation with ACE. After inoculation with ACE, suspensions of fungi were orally administered to animals of these groups for 28 days for therapeutic purposes. From the 6th day after transplantation of the tumor, its volume was recorded in mm3 according to three linear dimensions. Results:Survival in all groups of animals within 28 days after inoculation with ACE was 100%. Administration of aqueous suspensions of Phallus impudicus, Ganoderma lucidum, and Grifola frondosa fungi to animals with ACE compensated for metabolic disturbances in the body, which increased the dynamics of their weight gain. However, the weight of these animals on the 28th day of the experiment did not reach the weight of animals that were not transplanted with ACE. Against the background of the introduction of suspensions of these fungi to animals from 6 to 11 days, a statistically significant (p<0.05) effect of inhibition of the development of the ECA volume was obtained, which did not depend on the type of fungi studied.Conclusion:Aqueous suspensions of these fungi have a similar effect of inhibiting the development of ACE. This allows us to consider the chitin-glucan components of the studied mushrooms as substances with indirect antitumor activity for their standardization and optimization of their use for prophylactic or therapeutic purposes. Keywords:β-D-glucans, chitin-glucan complex, basidiomycetes, Ehrlich's adenocarcinoma.
Conventional or Shariah Compliant Investment: Performance Evaluation of Mutual Funds in Pakistan
Authors: Arif Unbreen , Majeed Muhammad Irfan 
Published: November 2023

The current study was initiated to compare the performance of conventional and Shariah-compliant mutual funds in Pakistan, keeping in view the contradictory opinions found in the literature in this regard. The data utilized to conduct the analysis covered the time span 2013-2021. Assessment of risk and return tradeoff was made with three ratios, namely Jenson’s alpha, Treynor ratio, and Sharpe ratio by evaluating the monthly returns of conventional and Shariah-compliant mutual funds. The findings revealed that Shariah-compliant mutual funds outperformed conventional funds in terms of absolute risk measure, higher Sharpe ratio, and low coefficient of variation. While, in terms of funds’ exposure to systematic risk, mixed results were obtained for both types of funds. The results produced sufficient information about the risks and returns associated with the two kinds of mutual funds which would enable fund managers and investors to make informed decisions while selecting the best mutual fund, thus generating maximum returns and with minimum risks.
Geometric Brownian Motion, Option Pricing, and Simulation: Some Spreadsheet-Based Exercises in Financial Modeling
Authors: Brewer Kevin D. , Feng Yi , Kwan Clarence C. Y. 
Published: November 2023

<p> This paper presents some Excel-based simulation exercises that are suitable for use in financial modeling courses. Such exercises are based on a stochastic process of stock price movements, called geometric Brownian motion, that underlies the derivation of the Black-Scholes option pricing model. Guidance is provided in assigning appropriate values of the drift parameter in the stochastic process for such exercises. Some further simulation exercises are also suggested. As the analytical underpinning of the materials involved is provided, this paper is expected to be of interest also to instructors and students of investment courses. </p>
A Synergetic Approach Utilizing Nanotechnology, Chemotherapy, and Radiotherapy for Pancreatic Cancer Treatment
Authors: Alhussan Abdulaziz , Calisin Reinali , Jackson Nolan , Morgan Jessica , Chen Sam , Tam Yuen Yi C. , Beckham Wayne , Krishnan Sunil , Chithrani Devika 
Published: November 2023

<img src=” https://s3.amazonaws.com/production.scholastica/article/90447/large/prnano_1112023ga.jpg?1700670543”> The objective of this study was to assess the anticancer effectiveness of gold nanoparticles (GNPs) and lipid-encapsulated docetaxel prodrug (LNPDTX-P) with radiotherapy (RT). The study utilized a co-culture spheroid model comprising MIA PaCa-2 cancer cells and patient-derived cancer-associated fibroblasts (CAF-98) to mimic pancreatic cancer conditions. The spheroids underwent treatment with GNPs (7.5 μg/mL), LNPDTX-P (99 nM of DTX pro-drug), and 2 Gy of RT. Cell viability of the spheroids was evaluated using the CellTiter-Glo 3D assay. At the same time, DNA double-strand breaks (DSBs) were assessed by examining the expression of the DNA damage marker 53BP1 through an immunofluorescence assay. Alt-hough GNPs/RT and RT/LNPDTX-P showed a reduction in spheroid size and an apparent in-crease in DNA DSB damage, the combination of the two nanoparticles, GNPs, and LNPDTX-P, with RT, significantly enhanced the anticancer efficacy, resulting in a 28% decrease in spheroid size and an estimated 39% increase in DNA DSB. The combination of GNPs and LNPDTX-P with RT showed a synergetic effect due to their radiosensitizing properties, improving the ther-apeutic efficacy of each treatment modality alone. This triple modality offers a hopeful strategy to enhance cancer treatment efficacy while reducing adverse effects.
Appointment of Supreme Court Judges in Bangladesh: An Alternative Interpretation of “Consultation”
Authors: Waheduzzaman Moha 
Published: November 2023

The Supreme Court of Bangladesh in the cases of Manabjamin and Idrisur Rahman held that in the matter of appointment of Judges of the Supreme Court “consultation” with the Chief Justice with primacy of his opinion is a condition of independence of Judiciary. I argue that the appointment of Judges of the Supreme Court by the Executive does not by itself fetter judicial independence provided that the other post-appointment conditions imposed by the Constitution are met. I further argue that Article 98 (appointment of Additional Judges) and Article 99 (permitting Judges to hold ‘judicial’ or ‘quasi-judicial’ offices after retirement) are provisions that compromise with the independence of Judiciary. The Court has never identified these provisions as potential or real threat to the independence of Judiciary. The Court rather over-focused on the mode of appointment as a major aspect of judicial independence. So far as the mode of appointment is concerned, I argue that the accountability of the Executive should be ensured politically and not judicially. This assumes that the whole of the accountability of the Government cannot be claimed to be ensured legally and the vice versa. In his dissent, Joynul Abedin J argued that the mode of appointment of Judges isn’t a component of judicial independence. However, this raises the question: if the Executive disregards the Chief Justice’s opinion, what then? Abedin J didn’t address the Executive’s political accountability in such a scenario. This leaves a gap in our jurisdiction regarding the justifiability of the Executive’s political accountability in Supreme Court Judge appointments. This article aims to fill that void by advocating for political accountability of Executive solely within this context.
Dhaka University Law Journal, Vol. 33(1), 2023 P.77-94
Temperatura del Agua de Alimentación a Colectores y su Influencia en la Fracción Solar
Authors: Figueredo Gustavo Raul , Pochettino Juan Jose , Zurlo Hugo Daniel 
Published: November 2023

El comportamiento de las instalaciones solares térmicas depende de muchas variables, una de ellas es la temperatura del agua de alimentación al colector. En muchos países la temperatura del agua de alimentación a utilizar para predecir la producción de una instalación solar a largo plazo se encuentra normalizada. La temperatura del agua de red depende fuertemente de la temperatura del ambiente y del tiempo de residencia del agua en las tuberías. En este trabajo se estableció el perfil temporal de temperaturas para el agua de red en la ciudad de Resistencia, se analizó su relación con la temperatura ambiente y se calculó la fracción solar de una instalación para proveer agua caliente sanitaria en función de las evoluciones de las temperaturas. Los perfiles temporales de temperatura se ajustaron mediante una oscilación armónica de periodo anual, con una media de 4 ºC superior a la temperatura ambiente y una amplitud de 7 ºC, con el mínimo para el mes de julio.
In vitro study: green synthesis and evaluation of MgO/C-dots/DOX phosphorescent nanocomposites for photodynamic/photocatalytic therapy of tumors
Authors: Karimi M. , Sadeghi E. , Zahedifar M. , Nejati M. , Mirzaei H. , Hamblin Michael R. 
Published: November 2023

MgO nanoparticles (NPs) and carbon dots (C-dots) were synthesized by co-precipitation and hydrothermal techniques. In the next step, as-synthesized NPs were modified by C-dots. Then, polyethylene glycol (PEG) was conjugated with MgO/Cdots. Finally, Doxorubicin (Dox) as an anticancer drug was loaded on MgO/Cdots/PEG nanocomposites. The XRD pattern showed the characteristic peaks of C-dots and MgO. The FTIR spectrum showed that MgO/C-dots possessed the carboxyl functional groups, allowing DOX to be loaded onto MgO/C-dots/PEG through hydrogen bonds. The particle size of MgO, C-dots, MgO/C-dots, and MgO/C-dots/PEG/DOX was 20–30, 5–10, 30–40, and 100–130 nm, respectively, using TEM, DLS, and FESEM techniques. MgO, MgO/C-dots, and MgO/C-dots/DOX were fluorescent NPs when excited by a UV source. Anthracene and methylene blue were used as fluorescent probes to identify the reactive oxygen species (ROS) produced by UV excitation. The activity of MgO/C-dots and MgO/C-dots/DOX against colorectal cancer (C26) cells, after repeated 5-min illumination with both UV-light and red light LEDs, were measured by MTT assay. C26 cancer cells incubated with DOX-loaded MgO/C-dots and exposed to either wavelength (UV and red) killed ∼70% of cells. The green synthesized nanocomposites could act as anti-cancer photosensitizers probably by a photocatalytic mechanism.
Intestinal flora study reveals the mechanism of Danggui Shaoyao San and its decomposed recipes to improve cognitive dysfunction in the rat model of Alzheimer’s disease
Authors: Jin Yijie , Liang Si , Qiu Jiakang , Jin Jing , Zhou Yujia , Huang Yaqi , He Chunxiang , Yu Wenjing , Deng Sisi , Cheng Shaowu , Song Zhenyan 
Published: November 2023

BackgroundAlzheimer’s disease (AD), characterized by a severe decline in cognitive function, significantly impacts patients’ quality of life. Traditional Chinese Medicine (TCM) presents notable advantages in AD treatment, closely linked to its regulation of intestinal flora. Nevertheless, a comprehensive exploration of the precise role of intestinal flora in AD remains lacking.MethodsWe induced an AD model through bilateral intracerebroventricular injection of streptozotocin in rats. We divided 36 rats randomly into 6 groups: sham-operated, model, Danggui Shaoyao San (DSS), and 3 DSS decomposed recipes groups. Cognitive abilities were assessed using water maze and open field experiments. Nissl staining examined hippocampal neuron integrity. Western blot analysis determined synaptoprotein expression. Additionally, 16S rDNA high-throughput sequencing analyzed intestinal flora composition.ResultsDSS and its decomposed recipe groups demonstrated improved learning and memory in rats (P&lt;0.01). The open field test indicated increased central zone residence time and locomotor activity distance in these groups (P&lt;0.05). Furthermore, the DSS and decomposed recipe groups exhibited reduced hippocampal neuronal damage and increased expression levels of synapsin I (P&lt;0.05) and PSD95 (P&lt;0.01) proteins. Alpha and Beta diversity analyses showed that the intestinal flora species richness and diversity in the DSS and decomposed recipe groups were similar to those in the sham-operated group, signifying a significant restorative effect (P&lt;0.05).ConclusionThe combination of DSS and its decomposed recipes can reduce the abundance of harmful gut microbiota, leading to improvements in cognitive and learning abilities.
Early postoperative prediction of the risk of distant metastases in medullary thyroid cancer
Authors: Zhang Yuhan , Zhou Qing , Chen Guang , Xue Shuai 
Published: November 2023

PurposeThe purpose of this study was to develop and validate a nomogram for estimating the risk of distant metastases (DM) in the early postoperative phase of medullary thyroid cancer (MTC).Patients and methodsWe retrospectively reviewed cases of patients diagnosed with MTC from the Surveillance, Epidemiology, and End Results (SEER) database from 2007 to 2017. In addition, we gathered data on patients who diagnosed as MTC at Department of Thyroid Surgery in the First Hospital of Jilin University between 2009 and 2021. Four machine learning algorithms were used for modeling, including random forest classifier (RFC), gradient boosting decision tree (GBDT), logistic regression (LR), and support vector machine (SVM). The optimal model was selected based on accuracy, recall, specificity, receiver operating characteristic curve (ROC), and area under curve (AUC). After that, the Hosmer-Lemeshow goodness-of-fit test, the brier score (BS) and calibration curve were used for validation of the best model, which allowed us to measure the discrepancy between the projected value and the actual value.ResultsThrough feature selection, we finally clarified that the following four features are associated with distant metastases of MTC, which are age, surgery, primary tumor (T) and nodes (N). The AUC values of the four models in the internal test set were as follows: random forest: 0.8786 (95% CI, 0.8070-0.9503), GBDT: 0.8402 (95% CI, 0.7606-0.9199), logistic regression: 0.8670(95%CI,0.7927-0.9413), and SVM: 0.8673 (95% CI, 0.7931-0.9415). As can be shown, there was no statistically significant difference in their AUC values. The highest AUC value of the four models were chosen as the best model since. The model was evaluated on the internal test set, and the accuracy was 0.84, recall was 0.76, and specificity was 0.87. The ROC curve was drawn, and the AUC was 0.8786 (95% CI, 0.8070-0.9503), which was higher than the other three models. The model was visualized using the nomogram and its net benefit was shown in both the Decision Curve Analysis (DCA) and Clinical Impact Curve (CIC).ConclusionProposed model had good discrimination ability and could preliminarily screen high-risk patients for DM in the early postoperative period.
Applying artificial intelligence to predict falls for inpatient
Authors: Chen Ya-Huei , Xu Jia-Lang 
Published: November 2023

ObjectiveFalls are adverse events which commonly occur in hospitalized patients. Inpatient falls may cause bruises or contusions and even a fractures or head injuries, which can lead to significant physical and economic burdens for patients and their families. Therefore, it is important to predict the risks involved surrounding hospitalized patients falling in order to better provide medical personnel with effective fall prevention measures.SettingThis study retrospectively used EHR data taken from the Taichung Veterans General Hospital clinical database between January 2015 and December 2019.ParticipantsA total of 53,122 patient records were collected in this study, of which 1,157 involved fall patients and 51,965 were non-fall patients.Primary and secondary outcome measureThis study integrated the characteristics and clinical data of patients with falls and without falls using RapidMiner Studio as an analysis tool for various models of artificial intelligence. Utilization of 8 differ models to identify the most important factors surrounding inpatient fall risk. This study used the sensitivity, specificity, and area under the ROC curve to compute the data by 5-fold cross-validation and then compared them by pairwise t-tests.ResultsThe predictive classifier was developed based upon the gradient boosted trees (XGBoost) model which outperformed the other seven baseline models and achieved a cross-validated ACC of 95.11%, AUC of 0.990, F1 score of 95.1%. These results show that the XGBoost model was used when dealing with multisource patient data, which in this case delivered a highly predictive performance on the risk of inpatient falls.ConclusionMachine learning methods identify the most important factors regarding the detection of inpatients who are at risk of falling, which in turn would improve the quality of patient care and reduce the workloads of the nursing staff when making fall assessments.