bluuebunny/crossref_metadata_2025 huggingface dataset:
Molecular Mimicry between SARS-CoV-2 proteins and human self-antigens related with autoimmune central nervous system (CNS) disorders
Authors: Gutman Elisa Gouvea , Fernandes Renan Amphilophio , Raposo-Vedovi Jéssica Vasques , Salvio Andreza Lemos , Duarte Larissa Araujo , Tardim Caio Faria , Costa Vinicius Gabriel Coutinho , Pereira Valeria Coelho Santa Rita , Da Silva Marcos Martins , Fontes-Dantas³ Fabrícia Lima , Alves-Leon Soniza Vieira
Published: October 2023

SARS-CoV-2 can trigger autoimmune central nervous system (CNS) diseases in genetically susceptible individuals, a mechanism poorly understood. Molecular mimicry (MM) has been identified in other viral diseases as potential triggers of autoimmune CNS events. This study investigated if MM is the process through which SARS-CoV-2 induce the breakdown of immune tolerance. The frequency of autoimmune CNS disorders was evaluated in a prospective cohort with patients admitted in the COVID-19 Intense Care Unity (ICU) in Rio de Janeiro. Then, an in silico analysis was performed to identify the conserved regions which share high identity between SARS-Cov-2 anti-gens and human proteins. The sequences with significant identity and antigenic properties were then assessed for their binding capacity to HLA subtypes. Of the 112 patients included, 3 were classified as having an autoimmune disorder. A total of eleven combinations had significant linear and three-dimensional overlap. NMDAR1, MOG and MPO were the self-antigens with more significant combinations, followed by GAD65. All sequences presented at least one epitope with strong or intermediate binding capacity to the HLA subtypes selected. This study underscores the possibility that CNS autoimmune attacks observed in COVID-19 patients, including those in our population, could be driven by MM in genetically predisposed individuals.
A Comprehensive Analysis of Organic Food: Evaluating Nutritional Value and Impact on Human Health
Authors: Rahman Azizur , Baharlouei Parnian , Koh Eleanor Hui Yan , Pirvu Gabby , Rehmani Rameesha , Arcos Mateo , Puri Simron
Published: October 2023

In recent years, organic agriculture has gained more popularity, yet its approach to food production and its potential impact on consumers’ health and various environmental aspects remain to be fully discovered. The goal of organic farming practices is to maintain soil health, sustain ecological systems, maintain fairness in its relationship with the environment and protect the environment in its entirety. Various health benefits have been associated with higher consumption of organic foods. This review identified some of these health benefits including a reduction in obesity and body mass index (BMI), improvements in blood nutrient composition as well as a reduction in maternal obesity and pregnancy-associated preeclampsia risk. Furthermore, organic food consumption can reduce the development of non-Hodgkin lymphoma and colorectal cancers. Upon reviewing existing literature regarding the nutritional value of organic foods, it was found that organic food contained higher levels of iron, magnesium, and vitamin C. However, the evidence available to draw definitive generalizations remains limited. In this review, we provided essential insights to support sustainable organic farming and highlighted the potential of organic food consumption that could play a pivotal role in positively impacting human health.
Keap It in the Family: How to Fish Out New Paradigms in Keap1-Mediated Cell Signaling
Authors: Long Marcus J. C. , Huang Kuan-Ting , Aye Yimon
Published: October 2023

Keap1 is associated with cytoprotective signaling. These roles of Keap1 typically focus on its role as a degrader of the antioxidant response (AR) transcription factor, Nrf2, and the inhibition of this process upon Keap1 labeling by electrophiles. However, work from several laboratories has reemphasized both the important role of Nrf2 binding in negatively regulating AR, and the fact that electrophile Keap1 modification dissociates Nrf2 from Keap1. This model appears to be applicable to other signaling modes regulated by Keap1. Here we use recent data we have derived using experiments in zebrafish and cultured cells to discuss different models of Keap1 regulation.
Hyaluronic Acid-Conjugated 17β-Estradiol Provide More Effectively to Alleviate Estropause-Induced Cognitive Deficits in Rats
Authors: Chen Mu-Hsuan , Lin Hsiao-Chun , Chao Tzu , Lee Viola Szu-Yuan , Hou Chia-Lung , Wang Tsyr-Jiuan , Chen Jeng-Rung
Published: October 2023

Women are at higher risk of cognitive impairment and Alzheimer’s disease (AD) after menopause when the estrous cycle becomes irregular and begins to taper off. Numerous studies have shown that estrogen deficiency, especially estradiol (E2), has been shown to play a key role in this phenomenon. Recently, a novel polymeric drug, hyaluronic acid-17β-Estradiol conjugate (HA-E2), has been developed which has the ability to cross the blood-brain barrier (BBB), facilitate a longer E2 release profile and lower risk of estrogen supplement related side effects. In this study, we used an ovariohysterectomy (OHE) rat model of postmenopausal cognitive deficits and explore whether HA-E2 treatment can improve the cholinergic septo-hippocampal innervation system, synaptic transmission in the hippocampal pyramidal neuron and cognitive impairment. Our results show that OHE rats after HA-E2 administration have increased expression of choline acetyltransferase (ChAT) in the medial septal nucleus (MS nucleus) and the hippocampus, increased spine density in hippocampal pyramidal neurons, and improved spatial learning and memory. Therefore, HA-E2 has great potential as a new novel class of drugs for estrogen-deficiency-induced cognitive impairment and AD.
Evaluation of the Water Consumption and the Productive Pa-Rameters on a Table Grapevine Cultivar Grafted onto Two Root-Stocks, in the Climate Change Context
Authors: Dattola Antonio , Vonella Vincenzo , Tommaso Olivadese , Pullia Francesco , Zappia Rocco , Gullo Gregorio Antonio Maria
Published: October 2023

Material and methods. The trial was carried out over two years in Southern Italy. Two grapevine rootstocks, 110R and SO4, were compared to evaluate the water extraction ability from the soil and the effect on the yield and quality of the Cardinal grapevine table cultivar. Therefore, a new approach to plant water consumption based on sap flow was adopted.
Results. The earlier and faster water refilling of the xylem in Cardinal onto 110R (C/110R) appears responsible for the earlier evolution of the phenological phases than Cardinal onto SO4 (C/SO4). The maximum length of the principal shoot was reached in Cardinal/110R compared to C/SO4, while a higher number of lateral shoots with lower internode has changed canopy architecture and light distribution in C/SO4. The 110R used more water compared to SO4; it was possible to quantify the real transpired flux of the plant per day: sap flow was 12.3 L.plant-1.d-1 and 11.7 L.plant-1d-1 in C/110R in the first and second year, respectively, while it was 14% lower in alternative graft combination.
Conclusions. However, C/SO4 was able to sustain leaf water status and physiological mecha-nisms, although with lesser performance than C/110R, but that did not cause negative effects on production parameters.
Circular Economy Integration in Additive Manufacturing
Authors: Chowdhury Hribhu
Published: October 2023

The paper delves into an extensive exploration of the integration of the circular economy paradigm within the realm of additive manufacturing (AM). The objective is to comprehensively investigate existing methodologies for structuring the symbiotic relationship between circular economy and additive manufacturing, while meticulously analyzing the current research gap concerning the implementation of circular economy principles in additive manufacturing practices. A thorough review focusing on the sustainability of additive manufacturing within the circular economy framework was conducted. This review aims to recognize and delineate pertinent aspects related to post-use material valuation in AM, recyclability of materials, and the environmental footprint associated with these processes. Emphasis was placed on the significance of examining circular economy facets concerning additive manufacturing processes to establish a holistic understanding. The overarching goal of this review is to augment knowledge regarding the potential advantages and benefits derived from the seamless integration of circular economy principles within AM. By elucidating the activities essential to attain compliance with the Sustainable Development Goals, this study endeavors to illuminate the pathway toward promoting sustainable development through the harmonious marriage of additive manufacturing and the circular economy.
Angiopoietins as Predictor Indexes in COVID COVID-19 Patients in Delta and Omicron Waves
Authors: Tsiatsiou Panagiota , Kouirouxis Kyriakos , Tsaireli Vasiliki , Lanta Antonia , Papaioannou Maria , Protonotariou Efthymia , Skoura Lemonia
Published: October 2023

The study aimed to explore the correlation among angiopoietin-1, (Ang-1) and Angiopoietin-2, (Ang-2) concentrations and the Angiopoietin-2/Angiopoietin-1 ratio, (Ang-2/Ang-1) with clinical outcomes, potentially serving as disease severity and survival biomarkers. A study at AHEPA University Hospital involved 90 COVID-19 adult patients, with 30 hospitalized in intensive care and 30 in ward units and 30 asymptomatic non-hospitalized individuals as controls. Estimated endothelial dysfunction markers related to angiogenesis were measured, and statistical analysis was performed using IBM SPSS Statistics software, version 29. There was a statistically significant difference only between outpatient and hospitalized patients (non-ICU -ICU groups) for the Ang-1 and Ang-2 indexes. The Ang-2/Ang-1 ratio has differed significantly among all individual patient groups. A ROC analysis was conducted to find an optimal threshold for distinguishing (outpatients – non-ICU) and (non-ICU – ICU) groups. It was based on Youden's Index and was 0.1122 or 0.1271 and 0.3825 or 0.4510, respectively. The Ang-1, Ang-2 levels, and Ang-2 / Ang-1 ratio were analysed as indicators for severity in COVID-19 patients. The Ang-2 / Ang-1 ratio demonstrated more excellent prognostic and diagnostic utility than individual biomarker levels. Monitoring the Ang-2/Ang-1 ratio can identify COVID-19 patients at risk and assist clinicians in tailoring treatment strategies for improved outcomes.
Fiscal Decentralization and Farmer Empowerment in Indonesia-Timor Leste Border: A Case Study of Village Fund
Authors: Sipayung Boanerges Putra , Joka Umbu , Maulana Achmad Subchiandi , Onuigbo Dennis Mark
Published: September 2023

Farmers in the border areas often face challenges due to a lack of facilities and sufficient infrastructure. As a nation that shares borders with several countries, the Indonesian government aims to facilitate economic growth in these areas. One viable approach to achieve this objective is through the effective allocation of village funds. Therefore, this study aims to analyze the factors influencing the empowerment of farmers in the Indonesia-Timor Leste border using village funds. Data were collected using a survey method from 325 household heads, who served as respondents. The collected data were analyzed using the Structure Equation Model-Partial Least Square (SEM-PLS). The results showed that human, social and physical capital owned by farmers on the Indonesia-Timor Leste border had an indirect effect on the strength of empowerment programs funded through village funds. This indicated that apart from implementing policies, the community must also be involved in the planning and implementation of various programs. Furthermore, the central or regional government must play an active role during the designing stages as well as involve farmers and experts in the empowerment process in the Indonesia-Timor Leste border areas.
Arthropod Community Structure Indicating Soil Quality Recovery in the Organic Agroecosystem of Mount Ciremai National Park’s Buffer Zone
Authors: Kurniawan Isma Dwi , Kinasih Ida , Akbar Rahmat Taufiq Mustahiq , Chaidir Liberty , Iqbal Sawaludin , Pamungkas Bayu , Imanudin Zikri
Published: September 2023

The Mount Ciremai National Park (TNGC) buffer zone is designed to support conservation efforts. However, agriculture in this area is dominated by conventional farming that excessively uses synthetic fertilizers, which threatens soil quality. Introducing an organic fertilizer and plant growth-promoting rhizobacteria (PGPR) is expected to enhance soil quality recovery in this area. This study aimed to analyze the differences in soil arthropod communities between organic and conventional agriculture and a forest in the TNGC buffer zone to assess soil quality improvement generated by the application of the organic fertilizer and PGPR. Soil arthropods were collected with Berlese-Tullgren funnels and pitfall traps. Several associated environmental parameters, including soil pH, C-organic, temperature, and moisture, were also measured. Data were analyzed using ecological indices (i.e., richness, diversity, evenness, dominance, similarity) and soil biological quality (QBS-ar). Non-metric multidimensional scaling (NMDS) was performed to examine the relation of arthropods with environmental parameters. In total, 957 individuals of soil arthropods belonging to four classes and 15 orders were recorded. Berlese-Tullgren and pitfall traps resulted in a similar tendency in most variables, with higher richness, diversity, and evenness values in the forest, followed by organic and conventional habitats. In addition, similarity and QBS-ar indicated that forest and organic communities were more similar than conventional community. C-organic, soil moisture and pH were considered the most deciding environmental parameters for arthropod assemblages. All measured variables in this study illustrated better soil quality in organic than in conventional agriculture. This study implicates the benefit of utilizing organic fertilizers and PGPR for soil quality restoration in agroecosystems.
Utilization of Partially Purified Papain Enzyme in Mallika Black Soybean Tempeh Hydrolysate as Umami Seasoning
Authors: Wihan Leonardo Aditya , Anugrahati Nuri Arum
Published: September 2023

Tempeh made from Mallika black soybean (Glycine max (L.) Merr. var. Mallika) can be fermented for up to 4 days and can be further optimized by adding partially purified papain enzyme obtained from California variety papaya leaves (Carica papaya (L.) var. California). Enzyme can be added to the hydrolysates to degrade protein into short-chain peptides and free amino acids, contributing to umami taste sensory attributes. The study aimed to determine the best ammonium sulfate fractionation of crude papain enzyme and the best physicochemical characteristics of black soybean tempeh protein hydrolysate. The addition of ammonium sulfate fractionation used was 0% to 80%; fermentation time was 2 to 4 days; and the concentration of enzyme added was 0%(w/v) to 1.5%(w/v). The results showed that the 40% fractioned papain enzyme gave the highest protease activity value (0.98±0.04 U ml-1) and most of the papain enzyme was precipitated in this fraction leaving impurities. The black soybean tempeh hydrolysates with 4 × 1% showed the best physicochemical characteristic because it produced the highest umami substance. The best characteristics were moisture content (17.97±0.46%), glutamic acid content (171.58±5.72 mg g-1) that was caused by a transamination reaction, dissolved protein content (470.66±19.50 mg g-1), degree of hydrolysis (43.64±1.99%) and lightness (46.02±0.97). The umami substance’s amino acids are high in content, such as glutamic and aspartic acids (59.89±0.31 mg g-1 and 26.47±0.09 mg g-1). Sensory evaluation showed that treatment 4 × 1% demonstrated no significant difference in umami intensity with MSG (monosodium glutamate).
Identification of Morpho-Physiological and Yield Traits of Sweet Corn Hybrids at Various Shade Levels
Authors: Susanti Endah Dwi , Chozin Muhamad Achmad , Ritonga Arya Widura , Sulistyowati Dwiwanti
Published: September 2023

The selection of shade-tolerant sweet corn under intercropping conditions is necessary to provide adaptive superior cultivars for agroforestry systems. Until recently, there have not been many reports of superior varieties of sweet corn tolerant to low light. This study aimed to determine the differences in the morphological, physiological and production responses of 25 hybrid sweet corn genotypes to low light intensity. This study used a nested design with three replications. The factors tested were the shade level (0%, 25%, 50% and 75%) and the genotype of hybrid corn. The results showed that most of the hybrid corn genotypes tested showed an increase in production at 25% shade, while at 50% and 75% shade, they showed a decrease in production. Based on relative production at 25% shade, the genotypes can be split into three groups: sensitive, moderate and tolerant. The tolerant genotype including F1 T8-2A x SM12-2 (G6); Exotic (G13); Talenta (G15); Golden boy (G16); F1 SM12-2 x T9-2 (G20) provided the highest increase in morpho-physiological characters and yields compared to the moderate and sensitive. In all genotype groups, morphological variables (number of leaves, leaf area, stem diameter and relative growth rate), physiological variables (stomata conductance, photosynthetic rate, and total dissolved solids (TDS)), and yield variables (length, diameter, number, weight and unhusked weight of ears) were significantly higher in the no-shade than in the shaded conditions. These findings can be used as a basis for sweet corn planting recommendations under shade condition areas such as in agroforestry systems.
A Multi-Criteria Sustainability Assessment of Mediterranean Rainfed Farming Systems using the IDEA Method: A Moroccan Case Study
Authors: Hakimi Fatiha , Hamdoun Fatima Zahra
Published: September 2023

Sustainable agriculture in arid and semi-arid regions faces unique challenges that require targeted assessment and intervention. Addressing the knowledge gap in this context, the current study evaluates the sustainability performance of 50 rainfed farms in the Zaër Region of northwestern Morocco using the innovative Indicateurs de Durabilité des Exploitations Agricoles/IDEA method (indicators of farming systems sustainability), which encompasses agro-ecological, social and economic criteria to assess the three pillars of sustainability. Customized assessment criteria and a tailored scoring system, specific to the region’s context, are employed, resulting in a comprehensive grid with 18 indicators across nine components. Data analysis and visualization were facilitated using statistical methods and an Excel macro. The findings reveal limitations in the sustainability of the surveyed farms. Socio-territorial factors, including issues with product quality, insufficient farmer training, limited workforce mobilization and low social involvement, contribute to the overall sustainability challenges. Agroecologically, low crop diversification, inadequate space management, and excessive reliance on chemical inputs are identified as areas of concern. On the economic scale, low specialization levels hinder economic viability despite some financial autonomy. The study emphasizes the need for interventions to enhance sustainability in rainfed agrosystems. Recommendations are provided to address socio-territorial constraints, improve agricultural practices, and promote economic viability. The findings have implications for policymakers, farmers and stakeholders, offering valuable insights for prioritizing strategies and actions to achieve sustainable agriculture in arid and semi-arid regions.
Carbon Stock, Carbon Fraction and Nitrogen Fraction of Soil Under Bamboo (Dendrocalamus asper Back.) and Non-Bamboo Vegetation
Authors: Pambayun Lintang Panjali Siwi , Purwanto Benito Heru , Utami Sri Nuryani Hidayah
Published: September 2023

The type of vegetation and soil organic matter affect the carbon fraction, nitrogen fraction and soil carbon stocks that contribute to the global carbon cycle. Therefore, the calculation of the composition of the fractions in different land covers is very important as a potential indicator of the effect of land management practices on soil organic carbon dynamics and supports the reduction of carbon dioxide (CO2) and soil carbon storage. This research aimed to determine the composition of the carbon fraction, nitrogen fraction and soil carbon stock in different land cover. There were six types of land cover with vegetations of 10-year-old bamboo, 30-year-old bamboo, 50-year-old bamboo, bulrush, a mixture of brushwood and bulrush, and a mixture of Albizia falcataria and brushwood, each of which was sampled three times. Soil samples were used to determine microbial biomass, particulate organic, humic acid, fulvic acid and soil carbon stock. The six land cover types showed significant differences in all fractions and soil carbon stocks. Fifty-year-old bamboo vegetation has the highest carbon storage of 0.029 g g-1 soil. The stable carbon fraction, in the form of humic acid and fulvic acid, in 50-year-old bamboo vegetation is more excellent than that in other vegetation. This study shows that 50-year-old bamboo vegetation has the potential to sequester carbon and store carbon in forms that decompose slowly, namely humic acid and fulvic acid, in the soil for a longer period.
Capacity Building for Disaster Risk Reduction: A Long-Term Program of the IRDR International Centre of Excellence at Taipei (ICoE-Taipei)
Authors: Lee Jian-Cheng , Chang Chung-Pai , Liao Ying
Published: September 2023

This paper provides a review of the capacity-building program of the Integrated Research for Disaster Reduction International Centre of Excellence at Taipei (IRDR ICoE Taipei) for disaster risk reduction (DRR) since 2011. We present the reasoning, motivation, organizing philosophy, and framework on why and how we have created and run this program, before illustrating its content, including workshop or training course (i.e., Advanced Institute (AI)), seed grant project, follow-up special session of conferences, special issue for publication, and online Master Forum series during the COVID-19 pandemic. We also highlight the efforts, notable results, and achievements of the ICoE Taipei on its long-term capacity-building program on DRR, including 14 in-person (in and outside of Taiwan) and 4 online AIs and 31 seed grant projects in 2011–2022.
Implementation of Hydrological Model for the Malino Catchment Area in South Sulawesi Province, Indonesia
Authors: Saleh Ayuko Hirani , Tai Akira , Yano Shinichiro , Hatta Mukhsan Putra
Published: September 2023

In South Sulawesi, the development of irrigation may be hindered by the continuing limitations and inadequacies of hydrological data. It is well known that the rainfall monitoring station is more extensive than the river flow monitoring station. Therefore, the Malino Catchment Area was selected to illustrate the theory of four tank components. The 1st tank (tank A) has two horizontal outlets (Qa1 and Qa2) and one vertical outlet (Ia); the 2nd tank (tank B) has one horizontal outlet (Qb) and one vertical outlet (Ib); the 3rd tank (tank C) has the same conceptual structure as tanks A and B; and the 4th tank (tank D) has only one horizontal outlet (Qd). To ensure that the tank model represents vertical and horizontal flows in a watershed region, the flows (Qa1, Qa2, Qb, Qc, and Qd) are predicted to accumulate in one flow, more or less, and must equal the measured discharge (Qo) at the specified time. Rainfall and evapotranspiration data are required to calculate this model. The 264.55 km2 (25902 ha) research area has an elevation range of 400–2400 masl. The findings for land use are dominated by plantations (41.01%), forests (40.79%), rice fields (15.44%), and residential areas (0.96%). In the calibration of the tank model, R2 is evaluated at 0.560% (good) and Nash–Sutcliffe efficiency is evaluated at 0.526% (good) to ensure that the model can represent the distribution of water flow components. Additionally, the measurements for the total water flow (Qtotal) were 13702 m3/y with a total rainfall of 3996 mm/y. Furthermore, surface flow accounts for 77.26% of the total runoff water, while intermediate flow accounts for 20.25%.
ANALYSIS OF PEAK EARTHQUAKE ACCELERATION (PGA) VALUE IN THE DUMAI DURI KANDIS ROAD AREA KM 68 + 975 USING PSEUDOSTATIC ANALYSIS
Authors: Mahardika Tiara , Yusa Muhammad , Satibi Syawal
Published: September 2023

This study aims to analyze the acceleration value of peak earthquakes with pseudostatic in Riau Province using exploratory research. Earthquakes are one of the natural disasters that often occur in Indonesia. In addition to its high intensity, the impact caused often causes a lot of losses. As one of a high potentialy seismic activity province, Riau is vulnerable to earthquake disasters, the road sections are traversed by heavily loaded vehicles such as on Jalan Dumai Duri Kandis KM 68 + 975 which borders several areas at high risk of earthquakes, so an analysis of the acceleration value of peak earthquakes is needed. The results were found that the earthquake plan that can be used on the Dumai Duri Kandis KM 68 + 975 road section for analysis is PGA = 0.25-0.3g and PGA = 0.25g is taken, the average N-SPT value obtained is 10, based on the average N-SPT value obtained the site classification for its location in the form of soft soil, based on the site classification obtained, the amplification factor for the PGA Soft Land site class = 0.2, Ss = 0.5 is 1.7 while for the Soft Land site class PGA = 0.3, Ss = 0.75 is 1.2. After interpolating obtained FPGA value = 1.45 (for PGA = 0.25), the peak acceleration value of the earthquake on Dumai Kandis Road was 0.1088 g which was needed to analyze slope stability using soil parameter data sourced from laboratory to obtain more accurate safety factor.
Multi-Disciplinary Management of Hidradenocarcinoma
Authors:   Department of Oncology, Section of Radiation Oncology, Aga Khan University Hospital, Karachi, Pakistan., Hina Mariam , Hasan Asra ,   Department of Medicine, Dow International Medical College, Karachi, Pakistan, Tariq Maria ,   Department of Oncology, Section of Radiation Oncology, Aga Khan University Hospital, Karachi, Pakistan., Abbasi Muhammad Muaz ,   Department of Forensic Medicine and Toxicology, Ziauddin Medical University, Karachi, Pakistan., Karim Muneeb Uddin ,   Department of Radiation Oncology, McGill University, Montreal, Canada.
Published: October 2023

Hidradenocarcinoma makes up 6% of eccrine malignancies, and is an uncommon eccrine sweat gland tumour. The etiology is due to genetic alterations and transformation from an existing lesion or hidradenoma. It typically affects the face and scalp, although it can also cause nodal involvement and show up on the trunk, abdomen, or groin. Due to its similarities to other skin tumours, it is challenging to diagnose histopathologically. Therefore, immunohistochemical markers, such as p53, Ki-67, keratin AE1/AE3, and cytokeratin 5/6, are crucial for the diagnoses. There are no prospective randomized trials available to direct treatment of hidradenocarcinoma. A key component of therapy is early diagnoses and case discussion in multidisciplinary tumor board. Wide local excision with clear margins is the mainstay of treatment. Adjuvant treatment like chemo radiation therapy is incorporated if nodal disease or positive margins are present. Recurrences are treated by re-excision followed by adjuvant radiation therapy. Adjuvant hormonal therapy depends on the receptor status of the disease. These tumors have a 50% recurrence rate and up to 60% of the time they metastasize to the brain, bone, lung, liver, mediastinum, or peritoneum in a two-year period. The overall five year survival rate is around 30%. Keeping in view the aggressive course of this disease, research based clinically evident new treatment strategies are the need of time to optimize overall survival and local disease control. Keywords: Sweat gland tumors, Adnexal tumors, Hidradenocarcinoma, Adjuvant therapy, Multidisciplinary team, Radiation therapy.
Analisis Konflik Kelas Luring Pada Pendidikan Anak Usia Dini di Masa Pandemi COVID-19
Authors: Soenjoto Wening Purbatin Palupi
Published: September 2023

Early childhood education in Indonesia is still an education that is starting to be of interest to parents to direct their children's readiness to continue their education to the next stage. With the learning process of self-development, cognitive processing, emotional processing, psychomotor processing and social interaction exercises in the form of children's independence during their playing period. Early childhood education is also different from other levels of education, it is only trained to play a lot but there is still learning. However, since the COVID-19 pandemic in early 2019 until now, early childhood education has been affected and online classes are held, in addition to students, including the age vulnerable to disease, are also still the lack of understanding of early childhood interpreting the covid 19 virus like adults. The psychological shock experienced by children when they have to go to school at home, not meeting teachers and friends will lead to boredom, lazy to do assignments so that they are affected by the psychological slumber felt by parents, especially mothers who have to teach children at home, who were previously children's learning tasks. more handled by teachers in schools. With online classes it is considered the best solution to hack the spread of covid 19 in the environment of early childhood. The emergence of conflicts between online and offline classes in the world of early childhood education is the basis for the research of this article, which uses qualitative research methods and is described in a descriptive analysis based on literature review and studies of social phenomena.
Model Pembelajaran dan Tingkat Kecerdasan Anak (Studi Pembelajaran Tahfidz di MI Al-Kautsar)
Authors: Kalsum Umi
Published: September 2023

This article looks at the use of the Al-Qur'an memorization method at MI Al-Kautsar Ponorogo. The purpose of this study was used to analyze how the method of memorizing the Al-Qur'an at MI Al-Kautsar Ponorogo was selected at the level of child intelligence. Therefore, to analyze it with field analysis and use a theoretical approach to child intelligence. From the results of the reading, it can be concluded: first, the sima'i method is by the ability to memorize the Al-Qur'an in low-grade children who still need more concentration. Where the teacher reads the verses, that will be memorized slowly and the child follows the reading, and so on. so that the child can memorize the letters in the Qur'an. Second, the use of the tallaqi method or technique is by the abilities of high-class children, where the ability and readiness to concentrate are more prepared and have a good memory. This is evidenced by the number of memorizations tends to be more.
Impact of HVFR Loading Concentrations on its Viscoelastic Properties and Proppant Transport Performance
Authors: Biheri Ghith , Norman Shari Dunn , Imqam Abdulmohsin
Published: October 2023

In unconventional reservoirs, increasing the low formation conductivities through hydraulic fracturing may substantially increase oil production from wells. This work of improving the fracture conductivity could be conducted by distributing and transporting proppant within the fracture lengths using high fracture fluid concentrations. This research focused on three areas. First, it assessed the fluid rheology including the viscosity and elasticity of a high viscosity friction reducer (HVFR) and linear guar using deionized (DI) water at different fluid concentrations (i.e., 2, 4, and 8 gpt for the HVFR and 15, 25, and 35 ppt for linear guar), and measured the impact of the Marcellus total dissolved solids (TDS) on the HVFR using different fluid concentrations. Second, it employed a static model and three proppant mesh sizes (i.e., 40, 50, and 70) to analyze the proppant settling across the aforementioned HVFR and linear guar concentrations using DI water. It also measured the Marcellus TDS effect on the settling velocity of the proppant using different HVFR concentrations. Third, the study investigated proppant transport using a dynamic model, with measurements of the proppant transport conducted using different concentrations of the HVFR and linear guar, while also measuring the effect of Marcellus TDS on different concentrations of the HVFR. All the rheology measurements, static proppant settling velocity investigations, and dynamic proppant transport evaluations were conducted at room temperature (25°C). The results demonstrated that the HVFR provided higher viscosity and elasticity than linear guar. In addition, the HVFR provided superior static proppant suspension and excellent proppant transport performance in comparison to linear guar, but the HVFR’s viscosity and elasticity decreased substantially when it was prepared using TDS water, despite increasing the HVFR concentration from 2 to 8 gpt. Therefore, different concentrations of the HVFR and linear guar must be used to measure fracture fluid rheology, the static settling velocity of the proppant, and proppant transport inside the dynamic system. Also, measuring the effect of the Marcellus TDS on HVFRs at different fluid concentrations is crucial for improving the results of hydraulic fracture operations.
Managing Uncertainty: Making Better Decisions In Gas Production Estimation Using Bayesian Approach
Authors: Sharma Akash , Joshi Deep , Chaudary Nitin
Published: October 2023

This research paper investigates the effectiveness of Bayesian modeling techniques for estimating gas production variables in challenging low-data environments and complex systems, with a specific focus on the Haynesville Basin. The study aims to evaluate the superiority of Bayesian models in handling uncertainty and quantifying risks associated with gas production estimation by utilizing early-stage data and petrophysical information to determine initial production performance, b-factor, decline parameters, and EUR. The findings of this study provide valuable insights for industry decision-makers, facilitating informed investment decisions.

The research employs a Bayesian model to predict gas production variables under different development scenarios and with both informative and non-informative priors. Various time data slices are selected from different points in the Basins' development history, and the results are compared with actual data and frequentist models generated at these different time slices. The study's conclusions highlight the superiority of Bayesian techniques in modeling and estimating gas production, as they effectively handle uncertainty and offer a clearer understanding of risks in low-data environments and complex systems. In contrast, frequentist models are prone to overtraining, particularly in the early stages, making them less suitable for such scenarios. Furthermore, the study shows that non-informative priors lead to more conservative results with wider High-Density Intervals (HDIs) on most parameters, while informative priors may introduce biases. These findings emphasize the importance of leveraging distributions instead of individual observations, especially in limited data applications.

This research contributes to the existing literature by demonstrating the practical application of Bayesian modeling in gas production estimation and underscoring its significance in basins with limited or highly heterogeneous data. The paper's innovative approach to gas production modeling and estimation offers valuable insights, making it a valuable addition to the industry and providing guidance for future investment decisions.
Effect of Fracture Conductivity on Long-Term Recovery in Shale Gas Reservoirs
Authors: Dilireba T. , Wang J.
Published: October 2023

Shale gas production for the Appalachian basin was 33 billion cubic feet per day in 2022 according to U.S. Energy Information Administration (EIA). Horizontal wells with efficient and effective hydraulic fracture stimulation enabled economic recovery in shale gas reservoirs. However, ultimate gas recovery is still low due to the dynamics of fracture conductivity with respect to stresses, geochemistry, and interactions with formation rocks. Laboratory studies of individual factors affecting fracture conductivity were reported, but impact on long-term well performances and recovery is still lacking.

In this paper, we will (a) first understand the physics and mechanisms of proppant crushing, proppant diagenesis, and proppant embedment through a critical review of all published laboratory and field data; (b) then develop correlations and mathematical equations to quantify the change of fracture conductivity with stress and time; (c) build the equations into an advanced reservoir simulation model to investigate its impact of fracture conductivity dynamics on long-term gas recovery; (d) and conduct a systematic and comprehensive analysis to obtain new understandings and insights on optimized well stimulation and increased long-term recovery in shale gas reservoirs.
Engaging Students for the Future
Authors: Ebenhack B. W. , Jacobs C.
Published: October 2023

There is considerable discussion of a coming energy transition and, as Petroleum Engineering faculty, we see many students (and parents) asking about the future of the profession. Whereas petroleum production must decline someday, we cannot know when that decline will come, nor how long the decline will be before petroleum slips into a minor role in the economy. There are, however, a few things that we can know or speculate with some confidence.

The following analysis shows that the transition away from oil and natural gas will be neither quick nor easy. Even as the transition gets underway and non-combustion energy sources gain significant market share, there will be need for the energy-dense, versatile, and dispatchable energy provided by fossil fuels.
The Integration of Geomechanics and Reservoir Modeling for Hydraulic Fracturing and Well Spacing Optimization in the Third Bone Spring Sand of the Delaware Basin
Authors: Bui D. , Nguyen S. , Nguyen T. , Yoo H.
Published: October 2023

This paper aims to apply a numerical reservoir simulation incorporating geomechanical properties to determine the optimal well spacing, the number of hydraulic fracture stages per well, and the best timeframe to fracture the infill or child well in the Third Bone Spring Sand of the Delaware Basin. The field data of a multistage fractured horizontal parent well was examined to simulate the fracture propagations, then well spacing analysis between the parent and child well was performed. The optimal number of fracture stages for each well and the ideal timing for fracturing the chill well were also specified to achieve the highest estimated ultimate recovery.

The proposed workflow coupled the rock properties with a dual permeability reservoir simulation to construct a hydraulic fracture model capable of simulating 3D fracture propagations. The 1D mechanical earth model was initially developed to deliver geomechanical parameters of the studied formation. The quality of the parent well’s fracture simulation was validated using the production history matching technique. The matched model was analyzed for optimizing well spacing, fracture stages density, and the child well hydraulic fracture timing.

The results showed a normal faulting regime in the formation with the minimum, maximum, and overburden stress gradients of 0.79, 0.90, and 1.10 psi/ft, respectively. The coupled model successfully simulated fracture propagations of the parent well using the fracture treatment data. The fracture outputs were verified by satisfactorily matching the production data. The estimated fracture geometry of the parent well varies from 200 to 1050 ft fracture length and 150 to 250 ft height for each stage. The findings demonstrate that the fracture geometry complies with variations in stress conditions during fracture fluid injection. Parent well production also alters the stress orientations and magnitudes, affecting the fracture propagations of the child well. Well-spacing analysis between parent and child wells was conducted from 650 to 1300 ft with a 50 ft increment. The results specified an optimal spacing to avoid well communications and maximize total production. For hydraulic fracturing optimization, the number of fracture stages analysis was performed and converted to the optimal density of stages per well. Furthermore, the parent well’s production period is the most sensitive factor affecting the child well’s fracturing. Therefore, the ideal timeframe for child well hydraulic fracturing was provided to optimize the entire process.

The novelties of this research are in the ability to effectively estimate the optimal well spacing, fracture stages density, and timing of fracturing child well in the Third Bone Spring Sand formation using a 3D coupled model. Following the proposed workflow, one can optimize the hydraulic fracturing process in any other formations.
Cu/Cu2O interface-modulated two-stage reduction of Cu2O under methanol
Authors: Li Meng , Curnan Matthew , Chi Hao , House Stephen , Andolina Christopher , Han Jeong Woo , Saidi Wissam , Veser Goetz , Yang Judith
Published: October 2023

Interfaces play crucial roles in catalysis. Beyond catalyst/support interfaces, formation of metal/metal-oxide (M/MO) interfaces during redox reactions and their impact on catalytic reaction mechanisms is poorly understood. Combining in situ Environmental TEM with quantitative statistical analyses and DFT calculations, we observe two-stage reduction dynamics of epitaxial Cu2O/Cu(110) model catalysts under methanol, which is modulated by the Cu2O||Cu junction structure. Anisotropic layer-by-layer reduction occurs at Cu2O island (110) side facets when the junction interfaces are along (100). In contrast, when the Cu2O||Cu interfaces are along (110), isotropic reduction at both top and side facets of Cu2O islands is observed. Anisotropic-to-isotropic transitions are supported by stochastic statistical analyses of island size evolution kinetics and DFT simulations showing MeOH adsorption energetics that favor defect sites at Cu2O||Cu(100) junctions. Our findings contribute to a deeper understanding of M/MO interfacial dynamics during catalytic reactions, providing new insights towards catalyst design and interface engineering.
Task-State Skin Potential Abnormalities Can Distinguish Major Depressive Disorder and Bipolar Depression from Healthy Controls
Authors: Hu Shaohua , Lyu Hailong , Huang Huimin , He Jiadong , Zhu Sheng , Hong Wanchu , Lai Jian-bo , Gao Tongsheng , Shao Jiamin , Zhu Jianfeng , Li Yubo
Published: October 2023

Early detection of bipolar depression (BPD) and major depressive disorder (MDD) has been challenging due to the lack of reliable and easily measurable biological markers. This study aimed to investigate the accuracy of discriminating patients with mood disorders from healthy controls based on task state skin potential characteristics and their correlation with individual indicators of oxidative stress. A total of 77 patients with BPD, 53 patients with MDD, and 79 healthy controls were recruited. A custom-made device, previously shown to be sufficiently accurate, was used to collect skin potential data during six emotion-inducing tasks involving video, pictorial, or textual stimuli. Blood indicators reflecting individual levels of oxidative stress were collected. A discriminant model based on the support vector machine (SVM) algorithm was constructed for discriminant analysis. MDD and BPD patients were found to have abnormal skin potential characteristics on most tasks. The accuracy of the SVM model built with SP features to discriminate MDD patients from healthy controls was 78% (sensitivity 78%, specificity 82%). The SVM model gave an accuracy of 59% (sensitivity 59%, specificity 79%) in classifying BPD patients, MDD patients, and healthy controls into three groups. Significant correlations were also found between oxidative stress indicators in the blood of patients and certain SP features. Patients with depression and bipolar depression have abnormalities in task-state skin potential that partially reflect the pathological mechanism of the illness, and the abnormalities are potential biological markers of affective disorders.
Postpartum Depression during the Syrian Conflict and Economic Crisis and Covid-19 Outbreak in Obstetrics & Gynecology Hospital, Damascus Syria
Authors: taifour wessam , bahsass rafat , taifour danny , adwan dema
Published: October 2023

Background
The Syrian crisis and bad economic situations in Syria and the COVID − 19 pandemic have had there's effects on Syrian mental status, including mothers who have given birth during these bad conditions, leading to increased postpartum depression prevalence, especially because of the poor response to deal with such threatened problems.
Methods
A Prospective longitudinal study was carried out between 13/11/2020 and 27/4/2021 in Damascus city (the capital of Syria). We evaluated the postpartum depression levels experienced by women who were seen in the Maternity Hospital of Damascus by using the Arabic version of the Edinburgh Postpartum Depression Scale (EPDS) after birth and 6 weeks after birth.
Results
A total of 402 participants were involved in this study and were screened for possible PPD using the Eden Burg Postpartum Depression Scale at a cutoff point of 10 once after giving birth and 6 weeks later, only 379 participants left after 6 weeks. The prevalence of postpartum depression was 46% after birth and 25.3% after 6 weeks. Women's house devastation (Sig.0 .033, 95% [CI]: 1.043–2.801), family member loss or injury (Sig. 0.018, 95% [CI]: 1.110–3.008), and female gender (Sig. 0 .034, 95% [CI]: 0.162–0.931) were significantly associated with PPD.
Conclusions
It is very important to detect possible PPD and provide specific services and treatment especially during the Syrian crisis and COVID − 19 pandemic and the bad economic situation, as it is a stressful period, particularly during puerperium.
A Ferroptosis-Related Prognostic Model of Mantle Cell Lymphoma
Authors: Gao Qianwen , Wang Xin , Zhang Yue , Wen Jingjing , Wang Fangfang , Lin Zhimei , Feng Yu , Huang Jingcao , Li Qian , Luo Hongmei , Liu Xiang , Zhai Xinyu , Li Linfeng , Zhang Li , Niu Ting , Xu Caigang , zheng yuhuan
Published: October 2023

Mantle cell lymphoma (MCL) is a B-cell non-Hodgkin's lymphoma. Ferroptosis, an iron-dependent programmed cell death, is closely related to cancer prognosis. In this study, we established a model of ferroptosis-related genes for prognostic evaluation of patients with MCL. Using the single-cell RNA sequencing datasets GSE184031 and GSE32018 from the Gene Expression Omnibus, we identified 139 ferroptosis-related genes in MCL. Next, a prognostic model was constructed by Cox regression and LASSO regression analysis. In our model, the prognosis of MCL patients was assessed by risk scoring using 7 genes ANXA1, IL1B, YBX1, CCND1, MS4A1, MFHAS1 and RILPL2. The patients were divided into high-risk and low-risk groups based on our model, and the high-risk patients had inferior overall survival. Finally, according to our model and computational drug sensitivity analysis, four small molecule compounds, BMS-754807, SB216763, Doramapimod and Trametinib, were identified as potential therapeutic agents for patients with MCL. In summary, we provide a prognostic model with ferroptosis-related gene signature for MCL.