bluuebunny/crossref_metadata_2025 huggingface dataset:
The Neglected Sibling: NLRP2 Inflammasome in the Nervous System
Authors: Ducza László , Gaál Botond
Published: July 2023

While classical NOD-like receptor pyrin domain containing protein 1 (NLRP1) and NLRP3 inflammasomal proteins have been extensively investigated, the contribution of NLRP2 is still ill-defined in the nervous system. Given the putative significance of NLRP2 in orchestrating neuroinflammation, further inquiry is needed to gain a better understanding of its connectome, hence its specific targeting may hold a promising therapeutic implication. Therefore, bioinformatical approach for extracting information, specifically in the context of neuropathologies, is also undoubtedly preferred. To the best of our knowledge, there is no review study selectively targeting only NLRP2. Increasing, but still fragmentary evidence should encourage researchers to thoroughly investigate this inflammasome in various animal- and human models. Taken together, herein we aimed to review the current literature focusing on the role of NLRP2 inflammasome in the nervous system and more importantly, we provide an algorythm-based protein network of human NLRP2 for elucidating potentially valuable molecular partnerships.
Evaluation of the Early Intervention Physiotherapist Framework for Injured Workers in Victoria, Australia: Data Analysis Follow-up
Authors: Akbarzadeh Khorshidi Hadi , Aickelin Uwe , De Silva Andrea
Published: July 2023

Purpose: This study evaluates the performance of the Early Intervention Physiotherapist Framework (EIPF) for injured workers. This study provides a proper follow-up period (3 years) to examine the impacts of the EIPF program on injury outcomes such as return to work (RTW) and time to RTW. This study also identifies the factors influencing the outcomes. Methods: The study was conducted on data collected from compensation claims of people who were injured at work in Victoria, Australia. Injured workers who commenced their compensation claims after the first of January 2010 and had their initial physiotherapy consultation after the first of August 2014 are included. To conduct the comparison, we divided the injured workers into two groups: physiotherapy services provided by EIPF-trained physiotherapists (EP) and regular physiotherapists (RP) over the three-year intervention period. We used three different statistical analysis methods to evaluate the performance of the EIPF program. We used descriptive statistics to compare two groups based on physiotherapy services and injury outcomes. We also completed survival analysis using Kaplan-Meier curves in terms of time to RTW. We developed univariate and multivariate regression models to investigate whether the difference in outcomes achieved after adjusting for significantly associated variables. Results: The results showed that physiotherapists in the EP group on average dealt with more claims (over twice as many) than those in the RP group. Time to RTW for the injured workers treated by the EP group was significantly lower than for those who were treated by the RP group, indicated by descriptive, survival and regression analyses. Earlier intervention by physiotherapists led to earlier RTW. Conclusion: This evaluation showed that the EIPF program achieved successful injury outcomes three years after implementation. Motivating physiotherapists to intervene earlier in the recovery process of injured workers by initial consultation helps to improve injury outcomes.
Reputation Risk and Corporate Social Responsibility in High-tech Companies and Their Relation to Monopolistic Patent Rights: Literature Preview
Authors: Sterev Nikolay , Biolcheva Petya , Molhova-Vladova Miglena
Published: July 2023

Without doubt, the social and environmental business impact will become more important as the governments cannot take care about these problems. Thus, launching the EU Green deal rules, World Global Sustainable Development Goals, corporate social responsibility (CSR) activities and strategies are part of this global commitment. Additionally, CSR is strongly connected to the exploration of (social) market awareness and technology development and application as it focusses on social, environmental and economic business impact. The main goal of the paper is to verify that contemporary greener CSR strategies are beneficiary activity for high-tech companies because of better competitive advantages acquisition through management of corporate reputation risk and patenting innovative technologies. The structure of the paper is the next: 1. Introduction – explanation the previous researches that explore the relation: CSR strategy – high-tech company competitiveness; 2. State of art – exploring the corporate reputation and patent rights as factors in CSR strategy; 3. Patent monopoly and CSR – research the connection between reputation risks of patents rights and CSR strategy; 4. Business performance and CSR reporting – briefly research methodology is presented as some results from Bulgarian companies; 5. Discussion and conclusions – summarizing a methodology for patent rights and reputation risk management for better CSR effects.
Design of Electrically Conductive Adhesives and Adhesive Joints
Authors: Sancaktar Erol
Published: July 2023

Electrically conductive adhesives (ECA’s) are used widely to replace or reinforce lead soldering or conductive metal components in electronic packaging applications such as die attachment, solderless interconnections, component repair, display interconnections, and heat dissipation. Their conductive behavior as well as the associated behaviors such as heat conduction and mechanical behavior (strength, rigidity, deformation and viscoelastic behavior, which may be affected by moisture ingression) are affected by adhesive film thickness, volume fraction, size and shape of the conductive filler, as well as uncured base adhesive viscosity, substrate and filler surface treatment and the applied pressure (during bonding and during conduction). The adhesive resistivity decreases precipitously above a characteristic filler volume fraction called the percolation threshold. In general, micron-sized metal fillers mixed in an adhesive (often an epoxy) resulting with different film thicknesses exhibit thickness thresholds for transition from three-dimensional conductivity to two-dimensional conductivity with considerable increases in thickness-direction (z-axis) resistivity when the film thicknesses are smaller than these threshold values. Recently, the use of conductive nanoparticles allowed decreases in percolation threshold levels as well as increases in mechanical strength and durability of ECA’s. Most ECA’s are supplied in liquid or paste form in varying viscosities and therefore, the method of their application also affects their performance. This work intends to provide an understanding of these effects on conduction behavior in (usually high-priced) equipment in which they are used.
Polymorph Dependent Initial Thermal Decay Mechanism of 1,1-Diamino-2,2-Dinitroethylene (FOX-7)
Authors: Jiang Huaiyu , Jiao Qingjie , Zhang Chaoyang
Published: July 2023

A self-consistent charge density-functional tight-binding method combined with molecular dynamics simulations is employed to reveal the effect of polymorph on the thermal decomposition stability of 1,1-Diamino-2,2-Dinitroethylene (FOX-7). Two types of heating, constant temperature heating and temperature-programmed heating, are adopted. Potential evolution indicates that γ-FOX-7 possesses the lowest thermal stability, as it is closer to the decomposition state. Crystal form has an important influence on the thermal decomposition of FOX-7, resulting in different decomposition rates and initial reactions. In general, β- and γ-FOX-7 always decompose more completely than α-FOX-7. This work emphases the importance of polymorph dependent initial decay of an energetic polymorphic compound once heated in a volume constrained condition.
Covalent Conjugates of Allylbenzenes and Terpenoids as Antibiotics Enhancers with the Function of Prolonged Action
Authors: Zlotnikov Igor D. , Davydova Maria P. , Danilov Milan R. , Krylov Sergey S. , Belogurova Natalia G. , Kudryashova Elena Vadimovna
Published: July 2023

Potentially, such an approach would significantly increase the effectiveness of therapy for a number of infectious and other diseases, reduce the dosage of antibiotics, shorten the duration of treatment, and reduce the risk of developing resistance. Moreover, the use of a polymer carrier with covalently bound organic molecules of different structures avoids problems with different (suboptimal) solubility and bio-distribution, which would be almost inevitable when using the same compounds separately. It would be very difficult to find antibiotic/adjuvant pairs that simultaneously achieve optimal concentrations in the same target cells. In our case, terpenoids and alkylbenzenes used as adjuvants are practically insoluble as individual compounds and their unacceptable pharmacological properties would not allow them to be used as efflux pump inhibitors.
EvacuAI: An analysis of Escape Routes in Indoor Environments with the Aid of Reinforcement Learning
Authors: Rosa Anna Carolina , Falqueiro Mariana Cabral , Bonacin Rodrigo , De Mendonça Fábio Lúcio Lopes , Filho Geraldo Pereira Rocha , Gonçalves Vinícius Pereira
Published: July 2023

There is only a very short reaction time for people to find the best way out of a building in a fire outbreak. Software applications can be used to assist the rapid evacuation of victims; however, this is an arduous task, which requires an understanding of advanced technologies. Since well-known pathway algorithms (such as, Dijkstra, Bellman-Ford and A*) can lead to serious problems over performance, we decided to make use of deep reinforcement learning techniques. A wide range of strategies including a random initialization of replay buffer and transfer learning were assessed in three projects involving schools of different sizes. The results showed the proposal was viable and that in most cases the performance of transfer learning was superior. In addition, the study raised challenges that had to be faced in the future.
Innovation and High-Quality Economic Development: An Empirical Analysis of Fujian Province.
Authors: Zhang Ping , Liu Guangyue , Zhang Guimei
Published: July 2023

With the rapid development of the economy and the transformation of social contradictions, the economic development model in China has also changed, and a high-quality economic development model has been proposed. This paper uses the entropy method to measure the level of innovation and high-quality economic development in nine prefecture-level cities in Fujian Province from 2011 to 2020, and finds that the overall level shows an increasing trend year by year, but there are obvious regional differences. By constructing a grey correlation degree model, it is found that the innovation subsystem and the high-quality economic development are strongly correlated, the development level of innovation and the subsystem of high-quality economic development are both strongly correlated, the grey correlation degree from high to low is green, coordinated, shared, and livelihood, indicating that innovation has a significant impact on high-quality economic development. Based on the research results, countermeasures and suggestions are proposed to promote the coordinated development of innovation and high-quality economy.
3D Printing of Personalised Carvedilol Tablets Using Selective Laser Sintering
Authors: Douroumis Dennis , Tabriz Atabak Ghanizadeh , Gonot-Munck Quentin , Baudoux Arnaud , Garg Vivek , Farnish Richard , Katsamenis Orestis , Ho-Wah Hui , Boersen Nathan , Roberts Sandra , Jones John
Published: July 2023

Selective laser sintering (SLS) has drawn attention for the fabrication of three-dimensional oral dosage forms due to the plurality of drug formulations that can be processed. The aim of this work was to employ SLS with a CO2 laser for the manufacturing of carvedilol personalised dos-age forms of various strengths. Carvedilol (CVD) and vinylpyrrolidone-vinyl acetate copolymer (Kollidon VA64) blends of various ratios were sintered to produce CVD tablets of 3.125, 6.25 and 12.5 mg. The tuning of the SLS processing parameter laser intensity, improved printability and impacted the tablet hardness, friability, CVD dissolution rate, and the total amount of drug re-leased. Physicochemical characterization showed the presence of CVD in the amorphous state. X-ray micro-CT analysis demonstrated that the applied CO2 intensity affected the total tablet po-rosity, which was reduced with increased laser intensity. The study demonstrated that SLS is a suitable technology for the development of personalised medicines that meet the required specifications and patient needs.
A New Fluorescent Probe for Hydrogen Sulfide Detection in So-Lution and Living Cells
Authors: Feng Wei , Xiao Qicai , Wang Lu , Yang Yuanyong
Published: July 2023

Since Hydrogen Sulfide (H2S) was recognized as a gas transmitter, its detection and quantifica-tion have become a hot research topic among chemists and biologists. In this area. fluorescent probes have shown great advantages: fast and strong responds, low detection limit and easy ma-nipulation. Here we developed a new fluorescent probe that detected H2S selectively among various bioactive and inorganic salts. This probe was based on the core structure of fluorescein and reacted with H2S through azide-reduction. Great linearity was achieved correlating fluores-cence intensity and H2S concentrations in solution. The detection of H2S in cancer cells was also achieved.
A High-Temperature Superconducting Homopolar Inductor Alternator with Slotless Stator Core for High-Power Pulsed Power Supply
Authors: Liu Longjian , Yu Kexun , Xie Xianfei
Published: July 2023

Nowadays, with the development of laser weapons, the primary power supply of laser weapons puts forward more and more high demand for its performance. The pulsed power supply based on conventional homopolar inductor alternator (HIA) cannot meet the requirements any more. In order to improve the power density and efficiency, this paper proposes applying the high-temperature superconducting (HTS) HIA with slotless stator core to this power supply. In this paper, the design considerations of it are presented, and the comparisons between the two power supplies are discussed. The calculation results show that the power supply based on HTS machine has much larger power density than the conventional HIA, and the efficiency is also larger than the conventional HIA. This can improve the performance of laser weapons dramatically.
From Threatening Chaos to Temporary Order through a Complex Process of Adaptation: A Grounded Theory Study of the Escalation of Intensive Care during the COVID-19 Pandemic
Authors: Göras Camilla , Karlsson Malin Lohela , Castegren Markus , Mellgren Emelie Coden , Ekstedt Mirjam , Bjurling-Sjöberg Petronella
Published: July 2023

To ensure high-quality care, operationalize resilience and fill the knowledge gap regarding how to improve the prerequisites for resilient performance, it is necessary to understand how adaptive capacity unfolds in practice. Coronavirus 2019 stress-tested complex healthcare systems, and intensive care was driven to an unprecedented escalation. The main aim of this research was to explain the escalation process of intensive care from a microlevel perspective, including expressions of resilient performance, intervening conditions at the micro-meso-macrolevels and short- and long-term consequences. A secondary aim was to provide clinical recommendations regarding how to optimize the prerequisites for resilient performance in intensive care. A grounded theory methodology was used. First-person stories from different healthcare professionals (n70) in two Swedish regions were analyzed using the constant comparative method. A novel conceptual model of the escalation process of intensive care emerged, and 41 clinical recommendations concerning the optimal prerequisites for resilient performance were identified. Escalation was conceptualized as a transition from threatening chaos to temporary order through a complex process of adaptation. To prepare for the future, the components space, stuff, staff, system and science with associated continuity plans must be implemented, anchored and communicated to actors at all levels of the system.
Representation of American Women Spirit of 21st Century Through the Character of Agent Peggy Carter From Television Series Marvel Agent’s: Carter (ABC, 2015 - 2016)
Authors: Sulistio Anindhitya Rahiswari
Published: July 2023

This research is written to analyze the representation of Agent Peggy Carter in television series Marvel Agent’s: Carter (ABC, 2015 – 2016). Agent Peggy Carter is an agent turns into secretary who works in secret division of Strategic Scientific Reserve. Agent Peggy Carter tried to fight against sexism from her male counterparts in the workplace. The television series was planned to be produced into three seasons. However, due to the low rating in the second season, the production cancelled the plan to make the third season. The series highlight Agent Carter’s struggle against sexism. The research used female action hero theory to analyze about Agent Carter representation as female action hero and Semiotic film theory. The result shows that Agent Carter representing female action hero and how Agent Carter representing the spirit of American women in twenty first century.
Model Hibrid Harmonik, ARMA dan Outlier Curah Hujan di Surabaya, Malang dan Banyuwangi
Authors: Kusdarwati Heni
Published: July 2023

The main factors affecting the climate in Indonesia are monsoons, El Nino Southern Oscillation (ENSO) and sunspot cycles. Another influence is local characteristics, namely the geography and topography of each region. The harmonic model is an applied statistical model of Fourier series analysis. Because the harmonic model is a deterministic model with residuals that often still have autocorrelation, it is necessary to add a stochastic Autoregressive Integrated Moving Average (ARIMA) model. With the existence of 3 main factors that influence the climate in Indonesia with different seasonal periods, plus local influences, the bulk modeling with Seasonal ARIMA, Double S ARIMA is not enough so that a combination of harmonics, ARMA and Additive Outliers (AO) appears. The purpose of this study is to find the periodicity of rainfall and model rainfall time series data with hybrid harmonics, ARMA outliers. Periodogram analysis of monthly rainfall data for three cities in East Java shows a 1-year seasonal return period influenced by monsoons, an 11-year return period influenced by sunspots that cannot be detected. The monthly rainfall model for the city of Surabaya is the 2nd order Harmonic Hybrid Model, ARMA([1,9,11],0,0) and the outlier type  , for the city of Banyuwangi is the 1st order Harmonic Hybrid Model, ARMA (1,0,0) and 2 outliers of type ,  , Malang city are first order Harmonic Hybrid models, ARMA([6,7],0,0) and outliers of type  . First order Harmonic Hybrid models, ARMA and Outlier are better than ARIMA and Outlier models.

Key words: Monsoon, ENSO, sunspot, harmonics, ARMA and outliers.
Pemodelan Regresi Logistik Ordinal Backward dengan Imputasi K-Nearest Neighbour pada Indeks Pembangunan Manusia di Indonesia Tahun 2021
Authors: Aliu Muftih Alwi , Anwar Fitrianto  , Erfiani  , Indahwati  , Khusnia N. K.
Published: July 2023

Indeks pembangunan manusia (IPM) merupakan salah satu masalah yang terjadi di Indonesia saat ini. Pertumbuhan IPM di Indonesia tahun 2021 tidak mereta di semua Kabupaten/Kota dan memiliki kesenjangan yang tinggi. Tujuan penelitian ini mengetahui gambaran data IPM, mendapatkan model terbaik untuk mengetahui faktor-faktor yang signifikan mempengaruhi IPM Kabupaten/Kota di Indonesia tahun 2021 dan mengidentifikasi hasil ketepatan klasifikasi dari model terbaik. Peubah bebas yang digunakan pada penelitian ini adalah rata-rata lama sekolah, tingkat pengangguran terbuka, laju pertumbuhan penduduk, kepadatan penduduk, persentase penduduk miskin dan rasio jenis kelamin. Peubah bebas pada penelitian ini mengandung missing value sehingga ditangani menggunakan imputasi k-nearest neighbour (KNN) dan dilanjutkan pemodelan menggunakan regresi logistik ordinal dengan menggunakan teknik backward elimination untuk mendapatkan faktor-faktor yang signifikan. Hasil penelitian menunjukkan proporsi kategori IPM rendah 4,28%, kategori IPM sedang 48,64% dan kategori IPM tinggi 47,08%. Peubah bebas rata-rata lama sekolah (X1), kepadatan penduduk (X4), presentase penduduk miskin (X5) dan rasio jenis kelamin (X6) merupakan faktor-faktor yang signifikan mempengaruhi IPM Kabupaten/Kota di Indonesia tahun 2021 berdasarkan model terbaik. Nilai akurasi dari ketepatan klasifikasi data latih dan data uji IPM Kabupaten/Kota di Indonesia tahun 2021 secara berturut-turut sebesar 83,46% dan 86,61% yang artinya model terbaik regresi logistik ordinal baik untuk dilakukan prediksi.
Aplikasi Model ARIMA dalam Peramalan Data Harga Emas Dunia Tahun 2010-2022
Authors: Rizki Akbar
Published: July 2023

Gold investment is one of the favorite investments during the Covid-19 pandemic because the price of gold is relatively volatile but shows an increasing trend. Savvy investors investing in gold need to be able to predict future opportunities. Therefore, price estimation is needed to develop a buying and selling strategy to maximize profits. The Autoregressive Integrated Moving Average (ARIMA) model is a suitable method for predicting time series data, so the best ARIMA model will be applied for forecasting world gold prices. The best ARIMA model is selected based on the Akaike Information Criterion (AIC) and Mean Absolute Percentage Error (MAPE) criteria. Monthly world gold price data for 146 periods are applied in this study and will be used to predict gold prices for the following six periods. ARIMA(0,1,1) is the best model obtained from the analysis results, with AIC and MAPE values ​​of 1264.731 and 11.972%, respectively. Forecasting results show that world gold prices will increase for the next periods.
LBP resists hepatic oxidative stress by regulating LD homeostasis
Authors: Fang Haoshu , Zhang Qilun , Shen Xuting , Huang Jing , Yuan Xin , Huang Fan , Ni Jing , Fan Yinguang , Zhu Yaling , Wu Haibo , Wu Qian , He Anyuan , Li Fang , Shi Chaowei , Li Hao , Zhu Tengteng , Zhang Tao , Meng Leilei , Chen Meng , Wang Wei , Ye Shandong , Zheng Mao , Liu Anding
Published: July 2023

Lipopolysaccharide-binding protein (LBP), an acute-phase protein, is expressed in inflammatory response and stress1,2, but its intracellular function is still unclear. Here, we uncover the profound paradigm of LBP as an antioxidant by coupling lipid droplet (LD) metabolism and redox signal, which protects hepatocytes from lipid peroxidation. LBP is upregulated and identified in LDs of hepatocytes after 24h fasting. Hepatic knock-in of LBP causes severe steatosis and LD accumulation on a high-fat diet. We showed that the C-segment groove of LBP conferred triglyceride (TG) capture activity, resulting in the LD-translocation of LBP and increasing the LD stability. Thus, a combination of LBP and unsaturated TG prevents lipid peroxidation under oxidative stress, whereas LBP was shuttled-out from LD after N-Acetyl-L-cysteine (NAC) treatment to promote phospholipid synthesis and lipolysis. Moreover, we found that LBP as a redox regulator of PRDX4, can sense the oxidative stress of cells and achieve precise control of LDs homeostasis. Stresses, like chronic jet lag and forced swimming test, caused LBP upregulation and steatosis, which can be rescued by NAC treatment in vivo. Taken together, our findings reveal a noncanonical mechanism of LBP as a hub for adapting to a stress-changing environment and maintaining intracellular homeostasis through physical collection of lipids and PRDX4 in-and-out LDs.
Correlation analysis of LCIA Methods and their Impact Categories in Food Sector: Representativeness & Predictability of Impact Indicators
Authors: Pak Jin-Sok , O Nam-Chol , Ro Jong-Song , Ri Pong-Chol , Ri Tae-Myong
Published: July 2023

The food system, one of very complicated systems, has a challenge of applying Life Cycle Assessments (LCAs), which is just the selection of impact categories & indicators to represent sustainability. However, former studies on the representativeness & predictability have been rarely discussed in food sector. This present study investigates the representativeness & predictability of various impact indictors in food sector, based on a correlation analysis of 9 Life Cycle Impact Assessment(LCIA) methods and 129 impact categories. The results show that, i) on the one hand strong correlations are observed between the investigated LCIA methods or their impact categories/indictors, which reveals representativeness & predictability between the impact indicators and may reduce the number of the existing impact indicators, ii) on the other hand close correlations are not found between them, but it might lead to the emergence of a LCIA method from combining impact indictors in food sector. Moreover, the results indicate that, since some of the LCIA methods (e.g. CML-IA baseline) have close correlations with other methods and their indicator combinations do not show dependencies, such LCIA methods could represent the whole impact categories, whereas since some of the LCIA methods (e.g. EPS 2015d) are not observed close correlations with other methods and their indicator combinations show considerable dependencies, such LCIA methods might not represent the whole impact categories providing an inefficient analysis.
Supercurrent mediated by helical edge modes in bilayer graphene
Authors: San-Jose Pablo , Rout Prasanna , Papadopoulos Nikos , Peñaranda Fernando , Watanabe Kenji , Taniguchi Takashi , Prada Elsa , Goswami Srijit
Published: July 2023

Bilayer graphene encapsulated in tungsten diselenide can host a weak topological phase with pairs of helical edge states. The electrical tunability of this phase makes it an ideal platform to investigate unique topological effects at zero magnetic field, such as topological superconductivity. Here we couple the helical edges of such a heterostructure to a superconductor. The inversion of the bulk gap accompanied by helical states near zero displacement field leads to the suppression of the critical current in a Josephson geometry. Using superconducting quantum interferometry we observe an even-odd effect in the Fraunhofer interference pattern within the inverted gap phase. We show theoretically that this effect is a direct consequence of the emergence of helical modes that connect the two edges of the sample. The absence of such an effect at high displacement field, as well as in bare bilayer graphene junctions, confirms this interpretation and demonstrates the topological nature of the inverted gap. Our results demonstrate the coupling of superconductivity to zero-field topological states in graphene.
Novel bio-inorganic iron chelate from coffee by-products for agronomic purpose
Authors: Cervera-Mata Ana , Ramos Leslie Lara , Arteaga Alejandro Fernández , Bayo Jesús Fernández , Delgado Gabriel
Published: July 2023

The presence of polyphenols and melanoidins in spent coffee grounds (SCG) and SCG-hydrochars obtained through hydrothermal carbonization (HTC) has been previously linked to both phytotoxicity and the ability to mobilize nutrient elements. This study aimed to assess the potential of SCG and two SCG-hydrochars, functionalized with Fe salts (bio-chelates), to enhance the nutritional value of lettuce through in vitro biofortification. The study utilized two application methods: 1) A fixed Fe concentration of 10 mg kg-1 of soil and 2) A fixed dose of 0.5% bio-product. Control groups were also included, consisting of soil alone (control A) and commercial chelates (control B). The SCG and SCG-hydrochars were obtained at 160 and 200 °C, respectively. Hydrochars showed a severe decrease in chelating capacity regarding Fe (62.8%). The addition of SCG and hydrochars show the same inhibition effect. Fe showed a greater biofortification tendency with the addition of all bio-chelates. Utilizing SCG-hydrochars as micronutrient fertilizers has the potential to revolutionize the field, challenging the conventional practice of solely emphasizing organic carbon enhancement in soil. Nonetheless, further research is imperative to fully explore this promising avenue.
Telomerase-independence function of Dyskerin is therapeutic vulnerability in p53 mutant pancreatic neuroendocrine tumors
Authors: Ji Shunrong , Lou Xin , Xu Junfeng , Shi Yihua , Qin Yi , Zhang Wuhu , Ye Zeng , Wang Fei , Wang Yan , Jing Desheng , Fan Guixiong , Zhang Yue , Chen Xuemin , Chen Jie , Xu Xiaowu , Yu Xianjun
Published: July 2023

Pancreatic neuroendocrine tumors (PanNETs) use the recombination-mediated alternative lengthening of telomeres (ALT) mechanism, instead of telomerase, for telomere maintenance, while the relationship between this mechanism and clinical practice is still unknown, especially chemotherapy resistance. Here, we found Temozolomide (TMZ) activated the RNA-binding protein dyskerin, encoded by DKC1 gene which functions as a core component of the telomerase holoenzyme. The upregulation of dyskerin dramatically elevated Wnt signaling in p53-mutant PanNETs independent of telomerase, contributing to drug resistance and recurrence after treatment. Mutant p53-driven DKC1 activation enhanced CTNNB1/TCF transcription, leading to Wnt/β-catenin pathway activation in patient-derived tumor cells (PDCs), patient-derived tumor organoids (PDOs) and patient-derived tumor xenografts (PDXs). TMZ-induced Wnt/β-catenin pathway activation could enhance the subsequent DNA damage repair, contributing to drug resistance. Combination treatment with a DKC1 inhibitor and TMZ effectively enhanced DNA damage and reduced tumor regrowth. Together, our findings highlight dyskerin as a new therapeutic target in PanNETs with crucial telomerase-independent functions. Mechanically, mutant p53-mediated dyskerin as a critical mediator of TMZ induced DNA damage repair via the β-catenin/TCF pathway and highlighted combination treatment with a dyskerin inhibitor and TMZ as a compelling therapeutic strategy to improve the poor outcomes of current TMZ-based therapies for PanNETs patients.
Effects Of Behaviour-Based Entrepreneurship Training and business development service on micro and small enterprises Growth and Performance: The Case study on Entrepreneurship Development institute, Ethiopia
Authors: laeke henok
Published: July 2023

The creation of entrepreneurs, supporting their growth and ensuring their sustainability, activating and promoting a private sector-led economy, creating jobs, and addressing rural/urban migration are all considered crucial steps in addressing a variety of socio-economic challenges, from mind-set shift to major societal issues. In order to understand the relationship between the program interventions of EDC and to investigate the impact of the programs on actual business performance and growth, this research used a quantitative research methodology with a focus on descriptive statistics to examine various key behavioural and business performance parameters that contribute to the research questions through correlation and regression testing. The study's findings showed a strong association between program interventions from EDC Ethiopia and growth as well as a statistically meaningful positive impact.
Artificial Intelligence Inspired Design of Non-Isothermal Aging for γ - γ' Two- phase, Ni-Al Alloys
Authors: Nandal Vickey , Dieb Sae , Bulgarevich Dmitry S. , Osada Toshio , Koyama Toshiyuki , Minamoto Satoshi , Demura Masahiko
Published: July 2023

In this paper, a state-of-the-art Artificial Intelligence (AI) technique is used for a precipitation hardening of Ni-based alloy to predict more flexible non-isothermal aging (NIA) and to examine the possible routes for the enhancement in strength that may be practically achieved. Additionally, AI is used to integrate with Materials Integration by Network Technology, which is a computational workflow utilized to model the microstructure evolution and evaluate the 0.2% proof stress for isothermal aging and NIA. As a result, it is possible to find enhanced 0.2% proof stress for NIA for a fixed time of 10 minutes compared to the isothermal aging benchmark. The entire search space for aging scheduling was ~ 3 billion. Out of 1620 NIA schedules, we succeeded in designing the 110 NIA schedules that outperformed the isothermal aging benchmark. Interestingly, it is found that early-stage high-temperature aging for a shorter time increases the γ' precipitate size up to the critical size and later aging at lower temperature increases the γ' fraction with no anomalous change in γ' size. Therefore, employing this essence from AI, we designed an optimum aging route in which we attained an outperformed 0.2% proof stress to AI-designed NIA routes.
Pan-cancer analysis of disulfidptosis with potential implications in prognosis, immune microenvironment, and drug resistance in human cancer
Authors: Lai Fobao , Zheng Wanrong , Zhong Chengqian , Chen Zhiyong
Published: July 2023

Background
The recently identified phenomenon of disulfidptosis and its related mechanism opens up new potential targets for manipulating this novel type of cell death, highlighting the possibility of new cancer therapeutics and target identification. However, systematic assessment of disulfidptosis-related genes across human cancers is lacking, and the predictive role of disulfidptosis in cancer drug sensitivity remains unexplored.
Methods
We developed a score-level model to quantify the level of disulfidptosis in cancer using TCGA data. Multiomics bioinformatic analyses were performed to evaluate disulfidptosis-related gene characteristics as well as the effect of disulfidptosis on the cancer immune microenvironment and drug resistance.
Results
We performed a pan-cancer analysis of disulfidptosis-related genes in 33 human cancers. Thirty cancers showed significantly different expression levels of disulfidptosis-related genes between normal and tumor samples. We found that altered levels of the disulfidptosis score expression were usually related to patient prognosis, and high expression of disulfidptosis-related genes was associated with drug resistance in different cancer types.
Conclusions
Our study illustrates the characterization of disulfidptosis in multiple cancer types and highlights its potential value as a predictive biomarker of drug response, which can pave the way for further investigation of the prognostic and therapeutic potential of disulfidptosis.
Assessing the Effect of Training and Development on Employee Performance: Evidence from CBE, Woldia District
Authors: Taye Birhan Ambachew , Zewdu Temesgen Teferi
Published: July 2023

Training and development involves the knowledge, skills and attitudes required by an individual to perform effectively in assigned tasks. This study examined to assess the effect of training and development for employee performance in the commercial bank of Ethiopia, Woldia district. Data were collected through the five point Likert scales of questionnaires, and the study used mixed research approach. Stratified sampling method was used to select samples from the target population and the questionnaire was physically distributed to 244 employees of CBE, Woldia district with a response rate of (239) 97. The descriptive analysis result revealed that there is a moderate mean value of training process in CBE, Woldia district and the result of Pearson correlation result shows that training dimension variables have significant and positive relationship on employee performance. Multiple linear regression result showed that at 5% level of significance there is a significant positive effect between independent variables and dependent variables.
Early Jurassic extrinsic solar system dynamics versus intrinsic Earth processes – Toarcian sedimentation and benthic life in deep-sea contourite drift facies, Cardigan Bay Basin, UK
Authors: Pieńkowski Grzegorz , Uchman Alfred , Ninard Krzysztof , Hesselbo Stephen P.
Published: July 2023

The Cardigan Bay Basin (UK) may have functioned as a narrow, deep strait, and influenced Early Jurassic oceanic circulation through the northern and southern Laurasian Seaway and, in general, between the Boreal and Peri-Tethys domains. Toarcian hemipelagic deposits of the basin in the Mochras borehole show strongly bioturbated contourite facies. Trace fossils are strongly dominated by Phycosiphon incertum (represented by four morphotypes), which was produced by opportunistic colonizers. Thalassinoides, Schaubcylindrichnus and Trichichnus are common (the latter is a deep-tier trace fossil produced by filamentous sulfide-oxidizing bacteria with a high tolerance for dysoxia), accompanied by less common Zoophycos, Planolites, Palaeophycus, Teichichnus, Rhizocorallium, Chondrites and dwelling and resting structures, such as cf. Polykladichnus, Siphonichnus, Skolithos, Arenicolites, Monocraterion and Lockeia. Ichnological and lithological signals suggest repetitive fluctuations in benthic conditions attributed to the a hierarchy of orbital cycles (precession and obliquity [4th order], short eccentricity [3rd order], long eccentricity [2nd order] and Earth–Mars secular resonance [1st order]). The Pliensbachian-Toarcian boundary event appears to be a significant palaeoceanographic turning point, starting a CaCO3 decline with the most severe oxygen crisis (dysoxic, not anoxic), ending at the beginning of the Toarcian negative carbon isotope excursion (To-CIE – linked with the Toarcian Oceanic Anoxic Event). This contrasts with the prevalence of anoxia synchronous with the To-CIE in many other settings. A minor dysoxic event also occurred in the latest thouarsense and dispansum zones. Extreme climate warming during the To-CIE may have enhanced and caused a reversal in the direction of deep marine circulation, improving oxygenation of the sea floor. Spectral analysis of binary data on ichnotaxa appearances gives high confidence in orbital signals and allows refined estimation of ammonite zones and the duration of the Toarcian (minimum ~ 9.7 Myr).
Two-level optimal scheduling strategy of demand response-based microgrids based on renewable energy forecasting
Authors: Sun Sizhou , Wang Yu , Wang Hongtao , Meng Ying , Liu Shilin
Published: July 2023

Considering the influences caused by the uncertainty of renewable energy generation (REG) and load on the stable operation of microgrid (MG), a two-level optimal scheduling strategy, including upper-level model and lower-level model, of demand response-based MGs using improved deep reinforcement learning (DRL) is proposed in this study. In the two-level optimal scheduling strategy, energy optimal set points of different distributed generators in the upper-level model are optimized with the objective of the minimal operational cost of the MG, demand response based on dynamic electricity pricing mechanisms is employed to minimize the electricity cost of the consumers in the lower-level model, and the opportunity constraint is transformed into a mixed-integer linear programming to simplify the solution of the optimization scheduling model. To deal with the uncertainty of the renewable energy and load, a freshness priority experience replay deep reinforcement learning (FPER-DRL) is developed to deploy the DRL prediction model for prediction of REG and load power. Finally, the experimental results illustrate that compared with traditional scheduling models based on probability density functions, the proposed method in this paper has more accurate prediction results for load power and renewable energy output, the economic benefits of MG and power users have been also improved.
19 F MRI signal-enhancement by photo-chemically induced dynamic nuclear polarization enables spatially-resolved detection of sub-nmol amount of the antiviral drug favipiravir
Authors: Bernarding Johannes , Bruns Christian , Prediger Isabel , Mützel Markus , Plaumann Markus Plaumann
Published: July 2023

In biological tissues, 19F magnetic resonance (MR) enables the non-invasive, background-free detection of 19F-containing biomarkers. However, the signal-to-noise ratio (SNR) is usually low because biomarkers are typically present at low concentrations. Measurements at low magnetic fields further reduce the SNR. We therefore applied LED-based photo-chemically induced dynamic nuclear polarization (photo-CIDNP) to amplify the 19F signal at 0.6 T. For the first time, 19F MR imaging (MRI) and spectroscopy (MRS) of a fully biocompatible model system containing the antiviral drug favipiravir has been successfully performed. This fluorinated drug has been used to treat Ebola and COVID-19. Because the partially cyclic reaction scheme for photo-CIDNP allows for multiple data acquisitions, averaging further improved the SNR. The mean signal gain factor for 19F has been estimated to be around 1700. An in-plane resolution of 0.39 x 0.39 mm2 enabled the analysis of spatially varying degrees of hyperpolarization. The minimal detectable amount of favipiravir per voxel was about 500 pmol. The results show that 19F photo-CIDNP is a promising method for the non-invasive detection of suitable 19F-containing drugs and other compounds with very low levels of the substance, even when measured in low magnetic fields.
Holmium Laser Lithotripsy and the Analysis of Factors Influencing Postoperative Ureteral Stricture
Authors: He Jia-Wei
Published: July 2023

Background
The thermal damage caused by holmium laser lithotripsy is irreversible and can lead to severe complications, including ureteral strictures.
Methods
This retrospective study included 106 patients who underwent ureteroscopic holmium laser lithotripsy by the same specialist at our hospital between October 2020 to October 2021. Patient data, including information on the stone location, size, surgical time, water consumption, disease course, and presence of stone-associated polyps, were collected and analysed using SPSS 23.0.
Results
Logistic regression analysis of the risk factors for URHL revealed significant associations (P < 0.05) between ureteral strictures and stone location, stone size, operation time, water consumption, disease course, and stone-associated polyps.
Conclusion
Complications during surgery significantly increase when the course of urinary tract stones exceeds 3 months, large ureteral stones are present, long incarceration time is required, and complex conditions, such as polyps, are encountered. The presence of these factors increases the risk of thermal damage due to holmium lithotripsy.
WITHDRAWN: Influence of Raw Rice Hulls in Green Roof Substrates
Authors: Dinçel Hamdi , Ekşi Mert
Published: July 2023

Utilizing local resources and reducing environmental impact during green roof implementation is crucial to maintain the sustainable character of the green roofs. Green roof substrates constitute two main portions, which are organic and inorganic. Inorganic portions of the substrates are mainly responsible for the structural design of the substrate and the organic part handles the plant nutrition and water retention abilities. Therefore, a study was conducted to evaluate the usage potential of a waste material, rice hull, in organic and inorganic portions of the engineered green roof substrates along with vermicompost as a locally available organic material. Substrate blends are designated as RPZV, PZR, and PZV. RPZV blend consists of raw rice hulls 6:1; homogenous mixture of pumice and zeolite 2:1 and vermicompost 2:1 by volume. PZR blend consists of raw rice hulls 2:1 and homogenous mixture of pumice and zeolite with a ratio of 8:1 by volume. PZV blend, a mixture of homogenous mixture of pumice and zeolite 8:1 and vermicompost 2:1 by volume. Measurements such as plant growth index, chlorophyll fluorescence, biomass accumulation were performed on some native and exotic plant species including Allium schoenoprasum, Cistus creticus, Lampranthus spectabilis, Dianthus chinensis, Stachys thirkei, Sedum album and Sedum lydium. Findings of the study demonstrated that rice hulls have a potential to use in inorganic portion of the green roof substrates in due primarily to its low bulk density, lower salinity and resistance to degradation but have contrasting effects on substrate water retention when used as an organic part of the substrate. On the other hand, vermicompost amendment tend to hold larger volume of water, providing nutrients to the plant species but caused slight increase on EC levels of the substrate mixtures. Plant species tested in the study including A.schoenoprasum, C.creticus, L.spectabilis are good candidates for extensive green roofs in Mediterranean region.
Title：CHSY1 promotes the tumorigenesis and progression of ovarian cancer. Running title：CHSY1 in ovarian cancer
Authors: Huang Jinling , Feng Qinmei , Wu Huijuan , Xia Sihan Sihan , Wang Liyan , Xia Liangbin
Published: July 2023

Background
Chondroitin synthase-1 (CHSY1) is an enzyme responsible for the biosynthesis of chondroitin sulfate, and it has been reported to be involved in tumorigenesis and progression in several cancer types. However, little is known about CHSY1 in ovarian cancer (OC).
Methods
CHSY1 expression was analysed on a tissue microarray (TMA) including tumour and peritumour tissues of OC patients, and the correlations between CHSY1 and clinicopathological features and prognosis. Gene sequencing analysis and qRT‒PCR were used to identify downstream genes and pathways. Cell function assays were used to assess cell proliferation, invasion and metastasis.
Results
The study revealed that CHSY1 expression was increased in OC vs. peritumour tissues and positively correlated with prognosis. In vitro cell function assays revealed high CHSY1 expression in OC cells, and CHSY1 was able to promote tumour cell proliferation and tumour cell invasion. Gene sequencing analysis and qRT‒PCR confirmed that CHSY1 promotes OC tumorigenesis through the downstream gene TIAM1 and the ERK signalling pathway.
Conclusion
Our study revealed a novel role of CHSY1 in OC tumorigenesis and offered a possible therapeutic target for OC.
The acid-sensing nociceptor TRPV1 controls breast cancer progression in bone via regulating HGF secretion from sensory neurons
Authors: OKUI TATSUO , Hiasa Masahiro , Hata Kenji , Roodman G David , Nakanishi Masako , Yoneda Toshiyuki
Published: July 2023

Cancers showing excessive innervation of sensory neurons (SN) in their microenvironments are associated with poor outcomes due to promoted growth, increased tumor recurrence, metastasis, and cancer pain, suggesting SNs play a regulatory role in cancer aggressiveness. Using a preclinical model in which mouse 4T1 breast cancer (BC) cells were injected into the bone marrow of tibiae, we found 4T1 BC cells aggressively colonized bone with bone destruction and subsequently spread to the lung. Of note, 4T1 BC colonization induced the acidic tumor microenvironment in bone in which SNs showed increased innervation and excitation with elevated expression of the acid-sensing nociceptor transient receptor potential vanilloid-1 (TRPV1), eliciting bone pain (BP) assessed by mechanical hypersensitivity. Further, these excited SNs produced increased hepatocyte growth factor (HGF). Importantly, the administration of synthetic and natural TRPV1 antagonists and genetic deletion of TRPV1 decreased HGF production in SNs and inhibited 4T1 BC colonization in bone, pulmonary metastasis from bone, and BP induction. Our results suggest the TRPV1 of SNs promotes BC colonization in bone and lung metastasis via up-regulating HGF production in SNs. The SN TRPV1 may be a novel therapeutic target for BC growing in the acidic bone microenvironment and for BP.