bluuebunny/crossref_metadata_2025 huggingface dataset:
Adverse Effects of Trace Non-polar Binder on Ion Transport in Free-standing Sulfide Solid Electrolyte Separators
Authors: Mills Anna , Yang Guang , Tsai Wan-Yu , Chen X. Chelsea , Sacci Robert L. , Armstrong Beth L. , Hallinan Daniel T. , Nanda Jagjit
Published: August 2023

Sulfide solid-state electrolyte (SE) possesses high room-temperature ionic conductivity. However, fabrication of the free-standing, sheet-type thin sulfide SE film electrolyte to enable all-solid-state batteries to deliver high energy and power density remains challenging. Herein we show that argyrodite sulfide (Li6PS5Cl) SE can be slurry cast to form free-standing films with low (≤5 wt%) loadings of poly(isobutylene) (PIB) binder. Two factors contribute to a lower areal specific resistance (ASR) of the thin film SEs benchmarked to the pristine powder pellet SSE counterparts: i) 1–2 orders reduced thickness and ii) reasonably comparable ionic conductivity at room temperature after the isostatic pressing process. Nevertheless, an increasing polymer binder loading inevitably introduced voids in the thin film SEs, compromising anode/electrolyte interfacial ion transport. Our findings highlight that electrolyte/electrode interfacial stability, as well as the selection of slurry components, including sulfide SE, binder, and solvent, play essential roles in thin film sulfide electrolyte development.
FGF21 promotes myocardial angiogenesis and mediates the cardioprotective effects of exercise in myocardial infarction mice
Authors: Bo Wenyan , Ma Yixuan , Feng Lili , Yu Mengyuan , Zhang Lili , Cai Mengxin , Song Wei , Xi Yue , Tian Zhenjun
Published: August 2023

FGF21 activated FGFR1/PI3K/AKT/VEGF signaling pathway mediated angiogenesis in MI mice. FGF21 deficiency attenuated aerobic exercise-induced cardiac angiogenesis in MI mice. FGF21/FGFR1/PI3K/AKT/VEGF signal played an important role in aerobic exercise to promote myocardial angiogenesis and improved cardiac function.
Field-Scale Experimental Study on Thermomechanical Behaviors of Super-Long and Large-Diameter Energy Piles under Liquefied Natural Gas Tank
Authors: Xiao Li , Zhang Chao , Liu Yang , Zhao Mingrui , Zhang Guangzhe , Du Fenglei , Li Xiangyu , Yu Dongjian
Published: August 2023

In this work, field-scale experiments were carried out on two energy piles to investigate the mechanical behavior of the piles when subjected to thermomechanical loads under a liquefied natural gas tank. The results showed that the super-long and large-diameter energy pile exhibited a better heat transfer performance. After pile heating or cooling, the temperature in the mid-depth of the pile increased or decreased rapidly, and at the two ends, the temperature varied relatively slowly. Regarding the observed axial strain, energy pile 1 exhibited predominately compressive deformation during the coupled heating–loading process, while a certain tensile deformation was found near the pile toe of energy pile 2 during the coupled cooling–loading process. Moreover, for both energy piles, positive shaft resistances appeared predominately under both the pure mechanical and coupled thermomechanical conditions, and occasional and local occurrences of negative resistances could be related to the ground conditions on site. The settlement and bearing capacity values of the two energy piles were not significantly affected by the coupled thermomechanical loads, and thus, the serviceability of the gas tank would not diminish.
Advances in CRISPR/Cas-Based Strategies on Zoonosis
Authors: Zhang Yi , Peng Qifeng , Zhang Renjun , Li Chao , Xu Quangang , Xia Luming , Wang Youming , Liu Ping , Pan Hong
Published: August 2023

Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) has emerged as the predominant technique for gene editing technique due to its high efficiency and low cost. In the area of zoonosis, CRISPR/Cas is also widely used in different research areas. This paper reviewed the principles of CRISPR/Cas technique and its applications in zoonosis. Moreover, we analyze the shortcomings and weaknesses that currently limit its use, highlight its direction for improvement, and foresee its application prospects in the prevention and treatment of zoonosis. For the purpose of preventing and controlling zoonosis, we need to develop diagnostic method with high sensitivity and specificity, highly protective vaccines, and also better understanding of the pathogenesis. Our review aimed to promote the application and improvement of CRISPR/Cas technique in the above-mentioned areas, and provide brief and comprehensive references for CRISPR/Cas-based research. Through reviewing the advances in CRISPR/Cas-based strategies on zoonosis, we believe that CRISPR/Cas technique will provide more powerful assistance for the prevention and control of zoonosis.
A Practical Model for Predicting Esophageal Variceal Rebleeding in Patients with Hepatitis B-Associated Cirrhosis
Authors: Liu Linxiang , Nie Yuan , Liu Qi , Zhu Xuan
Published: August 2023

Background. Variceal rebleeding is a significant and potentially life-threatening complication of cirrhosis. Unfortunately, currently, there is no reliable method for stratifying high-risk patients. Liver stiffness measurements (LSM) have been shown to have a predictive value in identifying complications associated with portal hypertension, including first-time bleeding. However, there is a lack of evidence to confirm that LSM is reliable in predicting variceal rebleeding. The objective of our study was to evaluate the ability of generating a extreme gradient boosting (XGBoost) algorithm model to improve the prediction of variceal rebleeding. Methods. This retrospective analysis examined a cohort of 284 patients with hepatitis B-related cirrhosis. XGBoost models were developed using laboratory data, LSM, and imaging data to predict the risk of rebleeding in the patients. In addition, we compared the XGBoost models with traditional logistic regression (LR) models. We evaluated and compared the two models using the area under the receiver operating characteristic curve (AUROC) and other model performance parameters. Lastly, we validated the models using nomograms and decision curve analysis (DCA). Results. During a median follow-up of 66.6 weeks, 72 patients experienced rebleeding, including 21 (7.39%) and 61 (21.48%) patients who rebleed within 6 weeks and 1 year, respectively. In brief, the AUC of the LR models in predicting rebleeding at 6 weeks and 1 year was 0.828 (0.759–0.897) and 0.799 (0.738–0.860), respectively. In contrast, the accuracy of the XGBoost model in predicting rebleeding at 6 weeks and 1 year was 0.985 (0.907–0.731) and 0.931 (0.806–0.935), respectively. LSM and high-density lipoprotein (HDL) levels differed significantly between the rebleeding and nonrebleeding groups, with LSM being a reliable predictor in those models. The XGBoost models outperformed the LR models in predicting rebleeding within 6 weeks and 1 year, as demonstrated by the ROC and DCA curves. Conclusion. The XGBoost algorithm model can achieve higher accuracy than the LR model in predicting rebleeding, making it a clinically beneficial tool. This implies that the XGBoost model is better suited for predicting the risk of esophageal variceal rebleeding in patients.
Data from Targeting up-regulated cIAP2 in SOX10-deficient drug tolerant melanoma
Authors: Glasheen McKenna Q. , Caksa Signe , Young Amelia G. , Wilski Nicole A. , Ott Connor A. , Chervoneva Inna , Flaherty Keith T. , Herlyn Meenhard , Xu Xiaowei , Aplin Andrew E. , Capparelli Claudia
Published: August 2023

Abstract
Drug tolerance and minimal residual disease (MRD) are likely to prelude acquired resistance to targeted therapy. Mechanisms that allow persister cells to survive in the presence of targeted therapy are being characterized but selective vulnerabilities for these subpopulations remain uncertain. We identified cellular inhibitor of apoptosis protein 2 (cIAP2) as being highly expressed in SOX10-deficient drug tolerant persister (DTP) melanoma cells. Here, we show that cIAP2 is sufficient to induce tolerance to MEK inhibitors, likely by decreasing the levels of cell death. Mechanistically, cIAP2 is upregulated at the transcript level in SOX10-deficient cells and the AP-1 complex protein, JUND, is required for its expression. Using a patient-derived xenograft model, we demonstrate that treatment with the cIAP1/2 inhibitor, birinapant, during the MRD phase delays the onset of resistance to BRAF inhibitor and MEK inhibitor combination therapy. Together, our data suggest that cIAP2 upregulation in SOX10-deficient subpopulations of melanoma cells induces drug tolerance to MAPK targeting agents and provides a rationale to test a novel therapeutical approach to target MRD.
Figure S1, S2, S3, S4, S5, S6, S7, S8, S9, S10, S11 from CD69 Imposes Tumor-Specific CD8+ T-cell Fate in Tumor-Draining Lymph Nodes
Authors: Koyama-Nasu Ryo , Kimura Motoko Y. , Kiuchi Masahiro , Aoki Ami , Wang Yangsong , Mita Yukiyoshi , Hasegawa Ichita , Endo Yukihiro , Onodera Atsushi , Hirahara Kiyoshi , Motohashi Shinichiro , Nakayama Toshinori
Published: August 2023

Figure S1, S2, S3, S4, S5, S6, S7, S8, S9, S10, S11
Supplementary Table 1 from Systemic Alterations in Type-2 Conventional Dendritic Cells Lead to Impaired Tumor Immunity in Pancreatic Cancer
Authors: James C. Alston , Baer John M. , Zou Chong , Panni Usman Y. , Knolhoff Brett L. , Hogg Graham D. , Kingston Natalie L. , Kang Liang-I. , Lander Varintra E. , Luo Jingqin , Tao Yu , Watson Mark A. , Aft Rebecca , Fields Ryan C. , Hawkins William G. , DeNardo David G.
Published: August 2023

Supplementary Table 1
Supplemental Table 2 from Synthesizing a Smarter CAR T Cell: Advanced Engineering of T-cell Immunotherapies
Authors: Zhu Iowis , Piraner Dan I. , Roybal Kole T.
Published: August 2023

Functional synNotch circuits.
Figure S7 from Circulating and Intratumoral Immune Determinants of Response to Atezolizumab plus Bevacizumab in Patients with Variant Histology or Sarcomatoid Renal Cell Carcinoma
Authors: Saliby Renee Maria , El Zarif Talal , Bakouny Ziad , Shah Valisha , Xie Wanling , Flippot Ronan , Denize Thomas , Kane M. Harry , Madsen Katrine N. , Ficial Miriam , Hirsch Laure , Wei Xiao X. , Steinharter John A. , Harshman Lauren C. , Vaishampayan Ulka N. , Severgnini Mariano , McDermott David F. , Lee Gwo-Shu Mary , Xu Wenxin , Van Allen Eliezer M. , McGregor Bradley A. , Signoretti Sabina , Choueiri Toni K. , McKay Rana R. , Braun David A.
Published: August 2023

Supplementary figure 7
Figure S4 from Circulating and Intratumoral Immune Determinants of Response to Atezolizumab plus Bevacizumab in Patients with Variant Histology or Sarcomatoid Renal Cell Carcinoma
Authors: Saliby Renee Maria , El Zarif Talal , Bakouny Ziad , Shah Valisha , Xie Wanling , Flippot Ronan , Denize Thomas , Kane M. Harry , Madsen Katrine N. , Ficial Miriam , Hirsch Laure , Wei Xiao X. , Steinharter John A. , Harshman Lauren C. , Vaishampayan Ulka N. , Severgnini Mariano , McDermott David F. , Lee Gwo-Shu Mary , Xu Wenxin , Van Allen Eliezer M. , McGregor Bradley A. , Signoretti Sabina , Choueiri Toni K. , McKay Rana R. , Braun David A.
Published: August 2023

Supplementary Figure 4
Figure S3 from Circulating and Intratumoral Immune Determinants of Response to Atezolizumab plus Bevacizumab in Patients with Variant Histology or Sarcomatoid Renal Cell Carcinoma
Authors: Saliby Renee Maria , El Zarif Talal , Bakouny Ziad , Shah Valisha , Xie Wanling , Flippot Ronan , Denize Thomas , Kane M. Harry , Madsen Katrine N. , Ficial Miriam , Hirsch Laure , Wei Xiao X. , Steinharter John A. , Harshman Lauren C. , Vaishampayan Ulka N. , Severgnini Mariano , McDermott David F. , Lee Gwo-Shu Mary , Xu Wenxin , Van Allen Eliezer M. , McGregor Bradley A. , Signoretti Sabina , Choueiri Toni K. , McKay Rana R. , Braun David A.
Published: August 2023

Supplementary Figure 3
Figure S12 from Circulating and Intratumoral Immune Determinants of Response to Atezolizumab plus Bevacizumab in Patients with Variant Histology or Sarcomatoid Renal Cell Carcinoma
Authors: Saliby Renee Maria , El Zarif Talal , Bakouny Ziad , Shah Valisha , Xie Wanling , Flippot Ronan , Denize Thomas , Kane M. Harry , Madsen Katrine N. , Ficial Miriam , Hirsch Laure , Wei Xiao X. , Steinharter John A. , Harshman Lauren C. , Vaishampayan Ulka N. , Severgnini Mariano , McDermott David F. , Lee Gwo-Shu Mary , Xu Wenxin , Van Allen Eliezer M. , McGregor Bradley A. , Signoretti Sabina , Choueiri Toni K. , McKay Rana R. , Braun David A.
Published: August 2023

Supplementary Figure 12
Figure S1 from β-Catenin Drives Butyrophilin-like Molecule Loss and γδ T-cell Exclusion in Colon Cancer
Authors: Suzuki Toshiyasu , Kilbey Anna , Casa-Rodríguez Nuria , Lawlor Amy , Georgakopoulou Anastasia , Hayman Hannah , Yin Swe Kyi Lai , Nordin Anna , Cantù Claudio , Vantourout Pierre , Ridgway Rachel A. , Byrne Ryan M. , Chen Lei , Verzi Michael P. , Gay David M. , Gil Vázquez Ester , Belnoue-Davis Hayley L. , Gilroy Kathryn , Køstner Anne Helene , Kersten Christian , Thuwajit Chanitra , Andersen Ditte K. , Wiesheu Robert , Jandke Anett , Blyth Karen , Roseweir Antonia K. , Leedham Simon J. , Dunne Philip D. , Edwards Joanne , Hayday Adrian , Sansom Owen J. , Coffelt Seth B.
Published: August 2023

WNT expression is independent of BTN3A1 and BTN2A1
Figure 5 from β-Catenin Drives Butyrophilin-like Molecule Loss and γδ T-cell Exclusion in Colon Cancer
Authors: Suzuki Toshiyasu , Kilbey Anna , Casa-Rodríguez Nuria , Lawlor Amy , Georgakopoulou Anastasia , Hayman Hannah , Yin Swe Kyi Lai , Nordin Anna , Cantù Claudio , Vantourout Pierre , Ridgway Rachel A. , Byrne Ryan M. , Chen Lei , Verzi Michael P. , Gay David M. , Gil Vázquez Ester , Belnoue-Davis Hayley L. , Gilroy Kathryn , Køstner Anne Helene , Kersten Christian , Thuwajit Chanitra , Andersen Ditte K. , Wiesheu Robert , Jandke Anett , Blyth Karen , Roseweir Antonia K. , Leedham Simon J. , Dunne Philip D. , Edwards Joanne , Hayday Adrian , Sansom Owen J. , Coffelt Seth B.
Published: August 2023

HNF4A and HNF4G regulate butyrophilin-like molecule expression in normal gut tissue. A, Schematic of mouse and human promoter regions of indicated genes. Putative HNF4A/G-binding sites are shown in green; CDX1 and CDX2 binding sites are shown in orange. B, Images of CDX1, CDX2, HNF4A and HNF4G protein expressions in SI of WT mice (n = 4); scale bar, 500 μm. C, Integrative Genomics Viewer analysis of HNF4A/HNF4G ChIP-seq data at mouse Btnl gene loci. D, Fold change in expression levels of indicated genes in WT organoids transduced with shRNA constructs targeting Hnf4 g transcripts. Each dot represents one organoid from one mouse (n = 4). Data are presented as mean ± SD. E, Butyrophilin-like molecule expression determined by RNA-seq analysis of SI in indicated mouse models. Each dot represents one mouse (n = 3). Data are presented as mean ± SD. F, Images of organoids from WT mice treated with DMSO control or HNF4A/G inhibitor (HNF4i) representative of 3/group. Fold change in expression levels of indicated genes. Each dot represents one organoid from one mouse (n = 3). Data are presented as mean ± SD. G, Correlation between HNF4G expression as determined by TempO-seq and γδ T-cell density determined by IHC in the Scotland cohort. Units on axes are normalized counts x 103. Each dot represents one tumor (n = 77). P and r values determined by Pearson correlation. H, Correlation between BTNL3 or BTNL8 expression and HNF4G expression units on axes are normalized counts x 103. Each dot represents one tumor (n = 82 Scotland cohort, 258 Marisa cohort). P and r values determined by Pearson correlation. *, P < 0.05; **, P < 0.01; ***, P < 0.001 (unpaired t test or one-way ANOVA followed by Tukey post hoc test).
Figure 4 from β-Catenin Drives Butyrophilin-like Molecule Loss and γδ T-cell Exclusion in Colon Cancer
Authors: Suzuki Toshiyasu , Kilbey Anna , Casa-Rodríguez Nuria , Lawlor Amy , Georgakopoulou Anastasia , Hayman Hannah , Yin Swe Kyi Lai , Nordin Anna , Cantù Claudio , Vantourout Pierre , Ridgway Rachel A. , Byrne Ryan M. , Chen Lei , Verzi Michael P. , Gay David M. , Gil Vázquez Ester , Belnoue-Davis Hayley L. , Gilroy Kathryn , Køstner Anne Helene , Kersten Christian , Thuwajit Chanitra , Andersen Ditte K. , Wiesheu Robert , Jandke Anett , Blyth Karen , Roseweir Antonia K. , Leedham Simon J. , Dunne Philip D. , Edwards Joanne , Hayday Adrian , Sansom Owen J. , Coffelt Seth B.
Published: August 2023

Activation of β-catenin decreases butyrophilin-like molecule expression. A and B, Correlation between indicated genes as determined by TempO-seq and γδ T-cell density determined by IHC in the Scotland cohort. Units on axes are normalized read counts × 103. Each dot represents one tumor (n = 77 left and 82 right). P and r values determined by Pearson correlation. C, Correlation between CTNNB1 or SOX9 expression and BTNL3 or BTNL8 expression in the Marisa cohort (28). Units on axes are normalized counts × 103. Each dot represents one tumor (n = 258). P and r values determined by Pearson correlation. D, Images of organoids derived from indicated mouse models taken 4 days after tamoxifen treatment. E, Fold change in expression levels of indicated genes in organoids from various genotypes measured at indicated days after tamoxifen treatment. Each dot represents one organoid derived from one mouse (n = 3). F, Fold change in expression levels of indicated genes in WT organoids treated with 3 or 10 μmol/L CHIR-99021 for indicated days. Each dot represents one organoid derived from one mouse (n = 3). Data are presented as mean ± SD. *, P < 0.05; **, P < 0.01; ***, P < 0.001 (one-way ANOVA followed by Dunnett post hoc test).
Data from T cell–Mediated Development of Stromal Fibroblasts with an Immune-Enhancing Chemokine Profile
Authors: Yan Ran , Moresco Philip , Gegenhuber Bruno , Fearon Douglas T.
Published: August 2023

Abstract
Stromal fibroblasts reside in inflammatory tissues that are characterized by either immune suppression or activation. Whether and how fibroblasts adapt to these contrasting microenvironments remains unknown. Cancer-associated fibroblasts (CAF) mediate immune quiescence by producing the chemokine CXCL12, which coats cancer cells to suppress T-cell infiltration. We examined whether CAFs can also adopt an immune-promoting chemokine profile. Single-cell RNA sequencing of CAFs from mouse pancreatic adenocarcinomas identified a subpopulation of CAFs with decreased expression of Cxcl12 and increased expression of the T cell–attracting chemokine Cxcl9 in association with T-cell infiltration. TNFα and IFNγ containing conditioned media from activated CD8+ T cells converted stromal fibroblasts from a CXCL12+/CXCL9− immune-suppressive phenotype into a CXCL12−/CXCL9+ immune-activating phenotype. Recombinant IFNγ and TNFα acted together to augment CXCL9 expression, whereas TNFα alone suppressed CXCL12 expression. This coordinated chemokine switch led to increased T-cell infiltration in an in vitro chemotaxis assay. Our study demonstrates that CAFs have a phenotypic plasticity that allows their adaptation to contrasting immune tissue microenvironments.
Data from Circulating and Intratumoral Immune Determinants of Response to Atezolizumab plus Bevacizumab in Patients with Variant Histology or Sarcomatoid Renal Cell Carcinoma
Authors: Saliby Renee Maria , El Zarif Talal , Bakouny Ziad , Shah Valisha , Xie Wanling , Flippot Ronan , Denize Thomas , Kane M. Harry , Madsen Katrine N. , Ficial Miriam , Hirsch Laure , Wei Xiao X. , Steinharter John A. , Harshman Lauren C. , Vaishampayan Ulka N. , Severgnini Mariano , McDermott David F. , Lee Gwo-Shu Mary , Xu Wenxin , Van Allen Eliezer M. , McGregor Bradley A. , Signoretti Sabina , Choueiri Toni K. , McKay Rana R. , Braun David A.
Published: August 2023

Abstract
Renal cell carcinoma (RCC) of variant histology comprises approximately 20% of kidney cancer diagnoses, yet the optimal therapy for these patients and the factors that impact immunotherapy response remain largely unknown. To better understand the determinants of immunotherapy response in this population, we characterized blood- and tissue-based immune markers for patients with variant histology RCC, or any RCC histology with sarcomatoid differentiation, enrolled in a phase II clinical trial of atezolizumab and bevacizumab. Baseline circulating (plasma) inflammatory cytokines were highly correlated with one another, forming an “inflammatory module” that was increased in International Metastatic RCC Database Consortium poor-risk patients and was associated with worse progression-free survival (PFS; P = 0.028). At baseline, an elevated circulating vascular endothelial growth factor A (VEGF-A) level was associated with a lack of response (P = 0.03) and worse PFS (P = 0.021). However, a larger increase in on-treatment levels of circulating VEGF-A was associated with clinical benefit (P = 0.01) and improved overall survival (P = 0.0058). Among peripheral immune cell populations, an on-treatment decrease in circulating PD-L1+ T cells was associated with improved outcomes, with a reduction in CD4+PD-L1+ [HR, 0.62; 95% confidence interval (CI), 0.49–0.91; P = 0.016] and CD8+PD-L1+ T cells (HR, 0.59; 95% CI, 0.39–0.87; P = 0.009) correlated with improved PFS. Within the tumor itself, a higher percentage of terminally exhausted (PD-1+ and either TIM-3+ or LAG-3+) CD8+ T cells was associated with worse PFS (P = 0.028). Overall, these findings support the value of tumor and blood-based immune assessments in determining therapeutic benefit for patients with RCC receiving atezolizumab plus bevacizumab and provide a foundation for future biomarker studies for patients with variant histology RCC receiving immunotherapy-based combinations.
Mild Synovitis Impairs Chondrogenic Joint Environment
Authors: Paudel Sharada , Feltham Tyler , Manandhar Lumanti , Guo Yi , Schon Lew , Zhang Zijun
Published: August 2023

The impact of mild synovitis on the chondrogenic environment in the joint pertaining to cartilage repair is often neglected. In this study, 21 synovial samples were collected from foot surgeries for histology and isolation of fibroblast-like synoviocytes (FLSs). Of the 21 samples, 13 were normal and eight were mild synovitis, according to their synovitis scores. In mild synovitis, CD3+ lymphocytes were increased in the sublining layer. When chondrocytes were cultured and treated with the conditioned medium produced by FLSs, their glycosaminoglycan production was negatively correlated with the synovitis scores of the synovium, from which FLSs were isolated. In conclusion, mild synovitis in common joint conditions compromises the process of chondrogenesis, via inhibiting chondrocyte matrix production by FLSs. The results suggest that the concomitant synovitis, even being mild, could significantly alter the joint environment for chondrogenesis and impair the outcome of cartilage repair.
A new fuzzy rule-based optimization approach for predicting the user behaviour classification in M-commerce
Authors: Ramaraj Muniappan , Chembath Jothish , Adishankar Nithya Balluru Thammaiahshetty , Ganesan Gnanakumar , Uma Shankari Balakrishnan , Karthikeyan Nagarajan
Published: August 2023

A novel approach for classification of user behaviour prediction using proposed embracing the optimized fuzzy techniques to predicting the user data in M-commerce. Using this technique, network users can be monitored and their behavior categorized according to their activity. Unauthorized use of the website, network security breach attempts, firewalls, unauthorized access to the service and frequency of attempts. The proposed method has been adapted with the user classification to predict the predefine segregation of information to extract from user logs. Pattern recognition is a method for information discovery that results in current information patterns. Continuing items are a required task in various knowledge mining operations in pursuit of fascinating types from the data banks, including association rules, connections, sequences, episodes, classifications, bunches and much more. The functionality findings achieved in relation to precision and recall show that our technique can contribute to predicting more accurately than the different approaches. This paper focuses on to enhance the far better forecast for the mobile phone users through locating more reliable frequent patterns coming from the consumer deal data bank through looking at the body weight value of each thing collection and also examining the consumer activities on all time intervals.
An internet of things-based touchless parking system using ESP32-CAM
Authors: Kusuma Vicky Andria , Arof Hamzah , Suprapto Sena Sukmananda , Suharto Bambang , Sinulingga Rizky Amalia , Ama Fadli
Published: August 2023

As technology continues to advance, governments around the world have implemented health protocols to minimize direct contact between individuals and objects, in response to the ongoing COVID-19 outbreak. To address this need, a touchless parking portal was designed using a microcontroller-based and internet of things (IoT) -based system, with the Arduino UNO microcontroller device serving as the core component. The system employs an ultrasonic sensor HC-SR04 and passive infrared (PIR) to detect vehicles as they arrive at the portal area, in addition to requiring an ESP32-CAM camera, servo motor, light-emitting diode (LED), I2C 16x2 liquid crystal display (LCD), push button, universal serial bus (USB) to transistor-transistor logic (TTL) converter, power supply, and portal bar. The system builder software was developed using Arduino integrated development environment (IDE), Android, and Blynk. The authors conducted thorough testing and analysis of the system, concluding that its overall performance reaches 100%. Nevertheless, despite the extensive experimentation conducted, there remains a possibility that certain factors could still affect the results. Therefore, caution is advised when interpreting the outcomes of this experiment.
Gym training muscle fatigue monitoring using EMG myoware and arduino with envelope and sliding window methods
Authors: Suprapto Sena Sukmananda , Kusuma Vicky Andria , Farid Mifta Nur , Nursyeha Muhammad Agung , Sugiarto Kharis , Firdaus Aji Akbar , Putra Dimas Fajar Uman
Published: August 2023

Muscles are an important organ in the movement of the body's skeleton to carry out sports activities. Measurement of muscle activity during the exercise process can be done using electromyography (EMG). This research uses Myoware muscle sensor (AT-04-001) which is integrated with Arduino Uno and Xbee to monitor biceps brachii muscle fatigue wirelessly. Fatigue data processing is carried out objectively using the envelope and sliding window method and subjectively verbally from the respondents. From this study, it was found that muscle fatigue can be measured using the method objectively when there is an increase in EMG amplitude with a window size of 5 s. The indication of biceps brachii muscle fatigue for the right arm is stronger to withstand the load during exercise with the average duration of the measurement of the right arm is 41.87 s from 69.67 s; 53.53 s from 98.90 s and 76.87 s from 98.80 s with the ratio of the left arm tending to fatigue more quickly is 23.53 s from 42.13 s; 41.87 s from 51.60 s and 23.53 s from 44.73 s.
A hybrid wrapper spider monkey optimization-simulated annealing model for optimal feature selection
Authors: Sahu Bibhuprasad , Panigrahi Amrutanshu , Dash Bibhu , Sharma Pawan Kumar , Pati Abhilash
Published: August 2023

In this research, a hybrid wrapper model is proposed to identify the featured gene subset from the gene expression data. To balance the gap between exploration and exploitation, a hybrid model with a popular meta-heuristic algorithm named spider monkey optimizer (SMO) and simulated annealing (SA) is applied. In the proposed model, ReliefF is used as a filter to obtain the relevant gene subset from dataset by removing the noise and outliers prior to feeding the data to the wrapper SMO. To enhance the quality of the solution, simulated annealing is deployed as local search with the SMO in the second phase, which will guide to the detection of the most optimal feature subset. To evaluate the performance of the proposed model, support vector machine (SVM) as a fitness function to recognize the most informative biomarker gene from the cancer datasets along with University of California, Irvine (UCI) datasets. To further evaluate the model, 4 different classifiers (SVM, na¨ıve Bayes (NB), decision tree (DT), and k-nearest neighbors (KNN)) are used. From the experimental results and analysis, it’s noteworthy to accept that the ReliefF-SO-SA-SVM performs relatively better than its state-of-the-art counterparts. For cancer datasets, our model performs better in terms of accuracy with a maximum of 99.45%.
Custom administering attention module for segmentation of magnetic resonance imaging of the brain
Authors: Sangolgi Nagveni B. , Sasikala Sasikala
Published: August 2023

Taking into account how brain tumors and gliomas are notorious forms of cancer, the medical field has found several methods to diagnose these diseases, with many algorithms that can segment out the cancer cells in the magnetic resonance imaging (MRI) scans of the brain. This paper has proposed a similar segmenting algorithm called a custom administering attention module. This solution uses a custom U-Net model along with a custom administering attention module that uses an attention mechanism to classify and segment the glioma cells using long-range dependency of the feature maps. The customizations lead to a reduction in code complexity and memory cost. The final model has been tested on the BraTS 2019 dataset and has been compared with other state-of-the-art methods for displaying how much better the proposed model has performed in the category of enhancing, non-enhancing and peritumoral gliomas.
Security of software defined networks: evolution and challenges
Authors: Aouad Siham , El Meghrouni Issam , Sabri Yassine , Hilmani Adil , Maizate Abderrahim
Published: August 2023

In software-defined networking (SDN), network traffic is managed by software controllers or application programming interfaces (APIs) rather than hardware components. It differs from traditional networks, which use switches and routers to control traffic. Using SDN, you can create and control virtual networks or traditional hardware networks. Furthermore, OpenFlow allows network administrators to control exact network behavior through centralized control of packet forwarding. For these reasons, SDN has advantages over certain security issues, unlike traditional networks. However, most of the existing vulnerabilities and security threats in the traditional network also impact the SDN network. This document presents the attacks targeting the SDN network and the solutions that protect against these attacks. In addition, we introduce a variety of SDN security controls, such as intrusion detection systems (IDS)/intrusion prevention system (IPS), and firewalls. Towards the end, we outline a conclusion and perspectives.
Route optimization via improved ant colony algorithm with graph network
Authors: N. Siddalingappa Patil , Basavaraj Poornima , Basavaraj Preethi , B. Gowramma Premasudha
Published: August 2023

Route optimization problem using vehicle routing problem (VRP) and time window constraint is explained as finding paths for a finite count of vehicles to provide service to a huge number of customers and hence, optimizing the path in a given duration of the time window. The vehicles in the loop have restricted intake of capacity. This path initiates from the depot, delivers the goods, and stops at the depot. Each customer is to serve exactly once. If the arrival of the vehicle is before the time window “opens” or when the time window “closes,” there will be waiting for cost and late cost. The challenge involved over here is to scheduling visits to customers who are only available during specific time windows. Ant colony optimization (ACO) algorithm is a meta-heuristic algorithm stimulated by the growing behaviour of real ants. In this paper, we combine the ACO algorithm with graph network henceforth increasing the number of vehicles in a particular depot for increasing the efficiency for timely delivery of the goods in a particular time width. This problem is solved by, an efficient technique known as the ACO+graph algorithm.
Smart surveillance using deep learning
Authors: Avinashiappan Amsaveni , Thiagarajan Harshavarthan , Coimbatore Mahesh Harshwarth , Suresh Rohith
Published: August 2023

Smart surveillance systems play an important role in security today. The goal of security systems is to protect users against fires, car accidents, and other forms of violence. The primary function of these systems is to offer security in residential areas. In today’s culture, protecting our homes is critical. Surveillance, which ranges from private houses to large corporations, is critical in making us feel safe. There are numerous machine learning algorithms for home security systems; however, the deep learning convolutional neural network (CNN) technique outperforms the others. The Keras, Tensorflow, Cv2, Glob, Imutils, and PIL libraries are used to train and assess the detection method. A web application is used to provide a user-friendly environment. The flask web framework is used to construct it. The flash-mail, requests, and telegram application programming interface (API) apps are used in the alerting approach. The surveillance system tracks abnormal activities and uses machine learning to determine if the scenario is normal or not based on the acquired image. After capturing the image, it is compared with the existing dataset, and the model is trained using normal events. When there is an anomalous event, the model produces an output from which the mean distance for each frame is calculated.
Energy-efficient routing protocol for wireless sensor networks based on progressive and concentric clusters
Authors: Hilmani Adil , Koundi Mohamed , Sabri Yassine , Maizate Abderrahim
Published: August 2023

Smart parking is common in contemporary cities. These smart parking lots are outfitted mostly with wireless sensor networks (WSNs), which are used to detect, monitor, and collect data on the availability status of all existing parking spaces in a given area. Sensors make up WSN, which may gather, process, and transmit informations to the sink. However, the power and communication limitations of the sensors have an effect on the performance and quality of the WSNs. The decrease in the battery and the energy of the nodes causes a decrease in the life of the nodes and also of the entire WSN network. In this article, we present a routing protocol that implements an efficient and robust algorithm allowing the creation of clusters so that the base station can receive data from the entire WSN network. This protocol adopts a reliable and efficient algorithm allowing to minimize the energy dissipation of the sensors and to increase the lifetime of the WSN. In comparison to alternative parking lot management protocols already in use, the simulation results of the proposed protocol are effective and robust in terms of power consumption, data transmission reliability, and WSN network longevity.
Predicting yield of crop type and water requirement for a given plot of land using machine learning techniques
Authors: Padriya Nitin , Patel Nimisha
Published: August 2023

Internet of things (IoT) smart technology enables new digital agriculture. Technology has become necessary to address today's challenges, and many sectors are automating their processes with the newest technologies. By maximizing fertiliser use to boost plant efficiency, smart agriculture, which is based on IoT technology, intends to assist producers and farmers in reducing waste while improving output. With IoT-based smart farming, farmers may better manage their animals, develop crops, save costs, and conserve resources. Climate monitoring, drought detection, agriculture and production, pollution distribution, and many more applications rely on the weather forecast. The accuracy of the forecast is determined by prior weather conditions across broad areas and over long periods. Machine learning algorithms can help us to build a model with proper accuracy. As a result, increasing the output on the limited acreage is important. IoT smart farming is a high-tech method that allows people to cultivate crops cleanly and sustainably. In agriculture, it is the use of current information and communication technologies.
OPTIMIZATION OF Talinum paniculatum Gaertn. ROOT INDUCTION AND THE EFFECT OF PHOSPHATE CONCENTRATIONS AND AMMONIUM:NITRATE RATIO ON BIOMASS OF ADVENTITIOUS ROOTS IN IN VITRO CULTURE
Authors: Manuhara Yosephine Sri Wulan , Palupi Dasawulan Lestari  , Syifa Fajrisani  , Putri Gehasti  , Sugiharto
Published: August 2023

Java ginseng (Talinum paniculatum Gaertn.) is a medicinal plant, the roots of which are commonly used in traditional medicine. In its natural habitat, the roots grow very slowly, requiring two to three years to produce 100 g of roots per plant. Plant tissue culture could therefore provide an alternative means of accelerating root growth. This research aimed to optimize root induction and determine the effect of phosphate (KH2PO4) concentration and the ratio between ammonium and nitrate (ammonium:nitrate) on the biomass of Java ginseng adventitious roots in in vitro culture. Stem and leaf were used as explants and various combinations and concentrations of IBA and BAP, kinetin, and TDZ were used as growth regulators. Leaf explants were grown in Murashige and Skoog (MS) media supplemented with IBA 2 mg/L and various concentrations of phosphate (170; 212.5; 255; 297.5; 340; 382.5; 425; 467.5; 510 mg/L) and various ammonium:nitrate ratios (21:19 mM as the control, 0:30 mM, 10:20 mM, 15:15 mM, 20:10 mM, 30:0 mM). Cultures were maintained for 6 weeks. The observed parameters were fresh weight, dry weight, the duration of root formation, and the number and length of adventitious roots. The data were analyzed using Analysis of Variance. The results showed that the concentration of phosphate and the ammonium:nitrate ratio significantly influenced the amount, length, fresh weight, and dry weight of Java ginseng adventitious root. The highest fresh weight (37.47 mg) and dry weight (5.53 mg) were achieved in the treatment of double phosphate concentration (KH2PO4 340 mg/L), while an ammonium:nitrate ratio of 10:20 mM was the optimum treatment to produce the highest biomass (fresh weight 73.6 mg and dry weight 8.2 mg).
PRODUCTION OPTIMIZATION, PARTIAL PURIFICATION, AND THROMBOLYTIC ACTIVITY EVALUATION OF PROTEASE OF Bacillus cereus HSFI-10
Authors: Ainutajriani Ainutajriani , Darmawati Sri , Zilda Dewi Seswita , Afriansyah Muhammad Ardi , Saptaningtyas Ragil , Ethica Stalis Norma
Published: August 2023

Cardiovascular disease is the primary cause of mortality in the world due to the formation of blood clots or thrombi in blood vessels. Bacterial proteases commonly function as thrombus dissolver agents in the pharmaceutical industry. Bacterial isolate HSFI-10 (Holothuria scabra Fermented Intestine-10) previously isolated from Rusip fermented sea cucumber had demonstrated thrombolytic activity. This study aimed to produce crude protease of HSFI-10 strain at an optimized incubation time and determine the thrombolytic activity of crude and dialysate proteases on A, B, AB, and O blood types. Isolate HSFI-10 was first molecularly identified and found to be Bacillus cereus with a homology level of 99.80% with Bacillus cereus strain ST06. The optimum crude enzyme was obtained after 48-h incubation with an activity of 222.52 U/mL, which increased to 438.84 U/mL after ammonium sulfate precipitation and dialysis. Clot lysis activity of crude enzymes was measured based on the gravimetry method on blood in the ABO system, showing results that ranged from 68.99% to 69.76%, while the dialysate ranged from 81.16% to 82.52%. In conclusion, partial purification of bacterial protease could increase both its specific and thrombolytic activities on human blood in the ABO system, with only 1% activity variability between A, B, AB, and O blood types.
DIVERSITY, ECOLOGY AND CONSERVATION STATUS OF NEPENTHES IN WEST SUMATRA PROVINCE, INDONESIA
Authors: Mansur Muhammad , Salamah Andi , Mirmanto Edi , Brearley Francis Q
Published: August 2023

Nepenthes is the largest carnivorous plant genus present in Indonesia. There are 39 species of Nepenthes pitcher plants recorded in Sumatra from lowland to montane forests, and 34 of them are endemic; this represents the greatest species diversity of Nepenthes after Borneo. Field studies were conducted in 2021 and 2022 to increase our knowledge of the diversity, habitats and distributions of Nepenthes in West Sumatra province. Twenty-three species of Nepenthes were recorded from the province, consisting of 15 highland species, 4 mid-elevation species and 4 lowland species. Ecophysiological studies conducted at Bukit Malalak showed clumped distributions of N. bongso, N. dubia, N. eustachya and N. rhombicaulis. Foliar and pitcher fluid nutrient concentrations were found to be similar to those cited in other recent studies although growth rates were slightly more rapid than at Gunung Talang. Bukit Malalak is a new locality for two threatened species, namely N. dubia (CR) and N. rhombicaulis (VU), enlarging their extents of occurrence. In total, nine species from West Sumatra are threatened and conservation actions are urgently needed for these and other Nepenthes species remaining on the island.
INDIGENOUS BACILLUS SPECIES ISOLATED FROM AEDES AEGYPTI LARVAE: ISOLATION, LARVICIDAL TOXICITY SCREENING, PHENOTYPIC CHARACTERIZATION, AND MOLECULAR IDENTIFICATION
Authors: Salamun  , Rizky Danang Susetyo  , Hakimatul Husniyah  , Almando Geraldi  , Ni’matuzahroh  , Fatimah  , Farah Aisyah Nafidiastri  , Nabilatun Nisa’
Published: August 2023

Vector-borne diseases transmitted by mosquitoes are considered a significant public health problem worldwide. Aedes aegypti is one of the mosquito species responsible for transmitting these diseases. One environmentally friendly method of vector control is the use of microbial agents such as Bacillus species. This study aimed to explore investigate indigenous entomopathogenic bacteria of Bacillus species isolated from A. aegypti larvae. Larvae samples were collected from breeding sites of A. aegypti. All isolates underwent screening and affirmation confirmation tests to assess their larvicidal toxicity against A. aegypti larvae. Phenotypic characterizations and molecular identifications were conducted to determine the species of the Bacillus isolates based on similarity index and percent identity (%ID). Phylogenetic trees were used to compare the isolates with other Bacillus species. The results revealed 120 isolates of Bacillus species from A. aegypti larvae samples. Among them, three isolates (LS3.3, LS9.1, and LSD4.2) exhibited the highest larvicidal toxicity in the confirmation test, resulting in larval mortality rates of 100%, 96.7%, and 100%, respectively, after 48 hours of exposure. Molecular identifications, showed that LSD4.2 had a 99.16% ID with Bacillus velezensis, LS3.3 had a 98.22% ID with Bacillus mojavensis, and LS9.1 had a 99.93% ID with Bacillus subtilis. These three bacteria from the Bacillus genus have been reported to offer significant benefits to humans.
FURTHER STUDY ON TWO SPECIES OF LOACH FISHES (Cypriniformes: Nemacheilidae: Nemacheilus) BASED ON MORPHOLOGY AND MOLECULAR DATA
Authors: Rahayu Dwi
Published: August 2023

The identity of two local loaches, Nemacheilus chrysolaimos (Valenciennes, 1846) and N. fasciatus (Valenciennes, 1846), is revealed in this study using morphology and molecular approach based on our collection from six rivers at Biltar, East Java Indonesia. Based on morphology, these two species can be distinguished mainly from the dark bars or dark spots on the lateral body. The meristic data for N. chrysolaimos in this study is DII. 7–8 (dorsal fin), AI. 3–5 (anal fin), PI. 9 (pectoral fin), VI. 6–7 (ventral fin) and C. 17 (caudal fin), meanwhile, for N. fasciatus with D II 7–8 (dorsal fin), AI. 6 (anal fin), PI. 9–10 (pectoral fin), VI. 6–7 (ventral fin) and C. 17 (audal fin). There was a significant difference on the morphometric of N. fasciatus form sampling sites using Kruskal-Wallis Test. The nucleotide base composition sequences consisted of the mean of Thiamine (T) 29.565%, Cytosine (C) 32.023%, Adenine (A)  23.88%, and Guanine (G) 16.244%. Maximum Likelihood (ML) and Neighbour Joining (NJ) analysis was conducted using the Kimura 2 Parameter model to establish two major clades on Nemacheilus spp. and one out-groups clades significantly different from the Nemacheilus spp. These major  clades  were  closely related  to  each  other  at  the  100%  evidence of  bootstrap, which  grouped  as  genus Nemacheilus. The  present  study  on Nemacheilus spp.  from the Blitar  locality  was  able  to  differentiate  COI  sequences between N. fasciatus and N. chrysolaimos. Moreover, N. crysolaimos from references sequence  was inferred as the ancestor to N crysolaimos MZB 26540 and MZB 26539. ABGD analyses at a prior maximal distance of 0.025 also delineated this species into a separate partition.
Effect of short-term growth of mung bean and its incorporation with nitrogen fertiliser on the density of the root-knot nematode, Meloidogyne incognita, in soil
Authors: Zeng Yayun , Perry Roland N. , Toyota Koki
Published: August 2023

Soybean is attacked by multiple plant-parasitic nematodes and the major ones are soybean cyst nematode (SCN) and root-knot nematodes. Our previous study reported that 2 weeks growth of mung bean and its soil incorporation markedly reduced SCN density in soil via hatching stimulation by mung bean residue. This study aimed: i) to evaluate whether incorporation of mung bean in combination with N fertiliser decreased the density of Meloidogyne incognita, which attacks both soybean and mung bean; and ii) to determine the direct effect of ammonium solutions on M. incognita J2 and hatching. The results showed that after the growth period of mung bean for 2 weeks and 4 weeks of its incorporation, the density of M. incognita was significantly reduced by 54 and 72% in the mung bean treatment with and without N fertiliser (140 mg N (kg soil)−1), respectively, compared with the control. Soil urease activity was significantly higher in the mung bean with N fertiliser than in the control. Meloidogyne incognita second-stage juveniles were less mobile in NH4Cl solutions with 100-250 mg N l−1 than in 0 mg N l−1. Moreover, NH4Cl solutions with 140 mg N l−1 and 250 mg N l−1 significantly inhibited the hatching of M. incognita. This study demonstrated that 2 weeks growth of mung bean may be a potential trap crop for M. incognita and N metabolism might be involved to a certain extent in the suppression of M. incognita.
New species and records in Phrynidius Lacordaire (Coleoptera, Cerambycidae, Lamiinae)
Authors: NOGUERA FELIPE A. , SANTOS-SILVA ANTONIO
Published: August 2023

Phrynidius Lacordaire, 1869, a genus of Mesoamerican distribution, is a group whose original taxonomic knowledge was generally limited, mainly due to the original descriptions not allowing for the adequate determination of its species. Recently, this knowledge was increased with the description of new species and the publication of a key to separate them. However, this knowledge is still incomplete, and there remain undescribed species deposited in different entomological collections. In this study, we update the taxonomic and distributional knowledge of the genus, and provide a new key to separate the species. Seven new species are described: P. poriferus sp. nov., from Honduras; P. skillmani sp. nov., from Guatemala; P. obrieni sp. nov., from Honduras; P. wibmeri sp. nov., from Mexico; P. pallifemoralis sp. nov., from Mexico; P. oaxacanensis sp. nov., from Mexico; P. guatemalensis sp. nov., from Guatemala. Phrynidius echinus Bates, 1880 is briefly redescribed and reported for the first time for the Guatemalan department of El Progreso. Phrynidius armatus Linsley, 1933 is excluded from the Nicaraguan fauna. Additionally, two new country records are reported: Phrynidius guifarroi Santos-Silva, Van Roie & Jocqué, 2021, from Guatemala; and P. nayaritensis Heffern, Nascimento & Santos-Silva, 2018, from Honduras.