bluuebunny/crossref_metadata_2025 huggingface dataset:
Visceral abdominal fat and muscle mass impact on patients with severe acute pancreatitis' risk for death
Authors: Saad Hassan Awad , Baz Azza , Eraky Mohamed Elsayed , El-Taher Ahmed kamal , Riad Mohamed , Farid Mohamed Ibrahim , Sharaf Khaled
Published: October 2023

Background
The association between abdominal visceral fatty area (VFA) and mortality is not fully understood despite the fact that being overweight is an established risk factor for the onset and severity of acute pancreatitis (AP). We assessed the effect of VFA on severe AP (SAP) mortality.
Methods
Between April 2011 and March 2021, 238 consecutive patients with SAP were assessed in this retrospective single-center cohort study.
We enrolled 454 patient subgroups for the first contrast-enhanced computed tomography for muscle tissue parameters besides adipose tissues and concluded that severity was analyzed through logistic regression analysis. The predictive capacity of the parameters was investigated using receiver operating characteristic (ROC) curves.
Computed tomography (CT) was used to evaluate VFA at umbilical level L1. The main goal of This study aimed to determine the effects of visceral adiposity and muscle parameters on AP mortality.
Results
Of the Egyptian participants, 66% were men and the median age was 126. Eighteen patients (7.5%) died during hospitalization. Twelve obese individuals had a body mass index (BMI) >30 kg/m2 (5%) with a median BMI of 22.2 kg/m2. The median VFA was 112 cm2, and waist measurement was 85.5 cm. A total of 176 (57.1%) individuals had VFA larger than 100 cm2. VFA (COV, 167 cm2; AUC = 0.679), accompanied by the prognostic factor score based on the Japanese guidelines for AP care (cutoff value [COV], 4; area under the curve [AUC] = 0.869] and age [COV, 72; AUC = 0.780]), demonstrated considerable accuracy in predicting death. Elevated VFA was associated with a significantly higher odds ratio (OR) for predicting mortality according to univariate regression analysis but not multivariate analysis (OR:4.38, P = 0.0406). There was no discernible difference in the survival periods of patients with SAP with and without an elevated VFA of 167 cm2.
Regurding to empolyed subroup's for asses the musvled mass effect we found no distinct variation was found between the AP severity groups in either adipose tissue parameters (visceral adipose tissue and subcutaneous adipose tissue) or visceral muscle ratio. However, the muscle mass and mean muscle attenuation differed significantly, with p-values of 0.037 and 0.003, respectively. In multivariate analysis, low muscle attenuation was associated with severe AP with an odds ratio of 4.09 (95% confidence intervals:1.61–10.36, p-value 0.003). No body parameters presented sufficient predictive capability in the ROC curve analysis.
Conclusions
Visceral obesity did not significantly affect the ability to predict mortality in SAP patients. Low muscle attenuation is associated with an increased risk of severe AP. Future prospective studies will help to identify the underlying mechanisms and characterize the influence of body composition parameters on AP.
Serum uric acid levels and risk of gastrointestinal cancers: a comprehensive Mendelian randomization study
Authors: Xiong Zhijie , Ning Wenfeng , Li Yonggui
Published: October 2023

Background
There has been an ongoing discourse regarding the correlation between serum uric acid (UA) levels and the risk of cancer. Observational studies have presented conflicting findings. This study aims to investigate the potential causal connection between UA levels and five types of gastrointestinal (GI) cancers, including esophageal, gastric, liver, pancreatic, and colorectal cancers.
Methods
We identified 12 single nucleotide polymorphisms (SNPs) significantly linked to UA levels from publicly accessible genome-wide association study (GWAS) data as instrumental variables (IVs). Genetic associations for the five GI cancers were obtained from the FinnGen and UK Biobank studies. Two-sample Mendelian randomization (MR) techniques were employed to evaluate the influence of UA levels on GI cancer. The primary analysis was conducted using the inverse variance-weighted (IVW) approach, and these results were corroborated with four additional methods, namely weighted median, MR-Egger, MR-PRESSO, and MR-Steiger. Multiple sensitivity analyses were carried out to ensure the robustness of our MR findings. Furthermore, a fixed-effects model meta-analysis was employed to amalgamate MR estimates from various data sources.
Results
Our primary analysis disclosed no significant correlation between UA levels and the risk of the five GI cancers (all P values > 0.05). Both sensitivity analyses and supplementary examinations yielded consistent outcomes. We did not observe substantial heterogeneity or horizontal pleiotropy.
Conclusion
This study constitutes the inaugural systematic appraisal of the causal nexus between UA levels and GI cancers utilizing meta-analysis within the MR framework. Our results do not provide substantial evidence for a notable impact of UA levels on the risk of GI cancers. These findings offer valuable insights for the clinical prevention and management of GI cancers.
Two-photon spectroscopy of helium 23S1-83D2,3 transitions at 544 nm with a 1.2 W compact laser system
Authors: Wu Mu-Hao , Wang Li-Bang
Published: October 2023

We have demonstrated two-photon spectroscopy in a power-enhanced cavity of helium 23S1-83D2,3 transitions in a radio frequency (RF)-discharged vapor cell with a compact laser system at 544 nm. An external-cavity diode laser at 1088 nm was constructed to seed a Ytterbium-doped fiber amplifier. By employing a MgO:PPLN crystal, we have successfully doubled the laser frequency of the fiber amplifier output, generating laser power exceeding 1.2 W at 544 nm. The normalized doubling efficiency was measured to be $0.78 \%/cm\cdot{}W$.The optical power within the power-enhanced cavity was 11.8 W.Notably, the 23S1-83D2,3 transitions were observed for the first time. Subsequently, we have investigated the pressure shift and AC stark effect of the spectra.These results pave the way for precision measurement of the transition frequencies and will provide stringent test for QED atomic calculations.
Impact on emission characteristics of Spark Ignition (S.I) engine with spark advancement and retardment using Premium Gasoline- Ethanol blends
Authors: Kumbhar S. V. , Khot S. A.
Published: October 2023

Bioethanol is one of the renewable and alternative fuels for conventional gasoline. Bioethanol is manufactured from sugar containing crops like sugarcane, rice straw, etc. by fermentation process. In India, 10% ethanol is already blended with gasoline and 20% will be added by 2024. In this experimental work, different premium gasoline bioethanol blends are prepared and different properties like physical, chemical & Thermodynamic properties of fuel blends are determined. It was found that the lower heating value of premium gasoline bioethanol blends decreases with increasing percentage of bioethanol. Also, density, kinematic viscosity increases with increase in percentage of bioethanol in fuel blend. The research octane number (RON) and motor octane number (MON) is also improved by increasing percentage of bioethanol in premium gasoline ethanol blends. There was enhancement in the Stoichiometric air fuel ratio by increasing quantity of bioethanol in blends. Flash point decreases considerably with increase of percentage of blends. Also, in two wheelers, CO emissions are 33% lower than neat premium gasoline in case of E20 blended fuel. Carbon monoxide, Carbon dioxide, hydrocarbon emissions decreases variation of spark advancement and retardment.
Dialysis for Paediatric Acute Kidney Injury in Cape Town, South Africa.
Authors: McCulloch Mignon I , Luyckx Valerie A , Morrow Brenda , Nourse Peter , Coetzee Ashton , Reddy Deveshni , Du Buisson Christel , Buckley Jonathan , Webber Ilana , Numanoglu Alp , Sinclair Gina , Nelson Candice , Salie Shamiel , Reichmuth Kirsten , Argent Andrew
Published: October 2023

Introduction:
Dialysis can be life saving for acute kidney injury (AKI). Recent technological developments allow for dialysis in even small neonates, yet there is poor access for less resourced countries.
Objective:
Describing the profile of paediatric AKI needing dialysis, methods of dialysis, and outcomes of acute dialysis over 20 years.
Methods:
Retrospective review of children 0–18 years dialysed acutely at Red Cross War Memorial Children’s Hospital (RCWMCH), Cape Town, South Africa from 1998-2020.
Results:
Overall, 593 children with AKI received dialysis of which 463 (78.1%) children received PD. Their median age was 8.0 (range 0.03 to 219.3; IQR1.0–58.3) months; 57.6% were <1 year old. Patients’ weights ranged from 0.9–62.0 kg (median 7.0 kg, IQR 3.0–16.0 kg); 38.6% were <5 kg. Peritoneal dialysis (PD) was used in younger children (median 6.4 months) and extracorporeal dialysis (ECD) in older children (median 71.7 months, p=0.001) with bed-side catheter insertions (n=490/578, 84.8%) predominantly by paediatricians and nephrology fellows (n=412/490, 84.1%) rather than surgeons (78/490, 15.9%). Complications occurred in 127/560 (22.7%) children receiving PD. Overall, 314/542 (57.8%) children survived. Survival was significantly lower in neonates (<1 month old, 47.5%) and infants (<1 year old, 49.2%) compared to older children (>1 year old, 70.4%, p<0.0001). Survival was better in the ECD (75.4%) than in the PD group (55.6%, p=0.002).
Conclusion:
We demonstrate an acceptable survival in children with AKI requiring dialysis throughout the study period. Outcomes were poorer in smaller children. Acute PD, with bed-side catheter placement placed by non-surgeons, is a feasible, practical and acceptable dialysis modality in our setting.
Risk Assessment and Diagnosis of Gastric Cancer Based on Data Mining Techniques
Authors: Wang Shuyu , Ma Lin , Wei Xiaofang , Chen Bo , Zou Mingjing , Ma Yunhua , Du Hongyang
Published: October 2023

Purpose: The primary objective of this study was to address the challenges associated with the early detection and prognostic assessment of gastric cancer, a condition often diagnosed at advanced stages leading to decreased survival rates. Utilizing data mining techniques, we aimed to identify pivotal biomarkers and clinical indicators from extensive datasets, aiming to enhance the accuracy and efficiency of early gastric cancer detection and evaluate potential correlations with prognosis.
Methods: Data from 24,805 patients spanning five years were extracted from electronic medical and laboratory information systems. A comprehensive analysis involving 505 variables, including epidemiological and test indicators, was conducted. Machine learning algorithms like Random Forest and Gradient Boosting, complemented by classic statistical methods, facilitated the identification and evaluation of significant indicators. Performance and effectiveness of the models were ascertained through metrics including the Gini coefficient and ROC index.
Results: The study unveiled four critical epidemiological indicators and 14 test indicators as significantly associated with gastric cancer. The Random Forest model emerged as superior, effectively differentiating between benign and malignant gastric conditions.
Conclusion: Data mining techniques proved instrumental in uncovering significant biomarkers for early gastric cancer diagnosis and prognostic assessment. The findings present an opportunity to refine clinical decision-making, potentially elevating early detection rates and improving patient outcomes. Further studies are warranted for the biological validation and practical integration of these markers into clinical workflows.
Sensitizing Chemotherapy for Glioma with Fisetin mediated by Microenvironment-responsive Nano-drug Delivery System
Authors: Wang Wanyu , Zhang Yuanyuan , Jian Yue , He Shi , Liu Jiagang , Cheng Yongzhong , Zheng Songping , Wang Xiang , Qian Zhiyong , Gao Xiang
Published: October 2023

Background: Drug resistance has become an obstacle to successful cancer chemotherapies, with therapeutic agents effectively traversing the blood-brain barrier (BBB) remaining a great challenge.
Results: A microenvironmentresponsiveness and active targeting nanomicelle was constructed to enhance the penetration of drugs, leading to improved therapeutic effects. Dynamic light scattering demonstrated that prepared nanomicelle had uniform size. The cRGD modification renders the nanomicelle with active targeting capabilities to traverse BBB for chemotherapy. The disulfide-bond-containing nanomicelle can be disintegrated in response to high concentration of endogenous glutathione (GSH) within the tumor microenvironment (TME) for tumor-specific drug release, resulting in more effective accumulation. Notably, the released fisetin further increased the uptake of doxorubicin by glioma cells and exerted synergistic effects to promote apoptosis, induce cellular G2/M cycle arrest, and inhibit cell proliferation and migration in vitro. Moreover, the nanomicelle showed favorable anti-glioma effects in vivo.
Conclusions: Our study provides a new strategy to overcome drug resistance by utilizing a natural product to sensitize conventional chemotherapeutics with well-designed targeted nanodelivery systems for cancer treatment.
Improving the physical and optical characteristics of Zinc doped borate glass for bone replacement
Authors: Salatein Nahla. M. , Abdelghany A. M. , Fahim I. S. , ElHussiny F. A. , Abdou Y.
Published: October 2023

The presented study explores the potential of zinc-doped modified borate glass as a biomaterial for bone bonding applications. The glass samples were prepared using a melt quenching technique with a definite composition of (45-x) B2O3–24.5Na2O–24.5CaO–6P2O5–xZnO, where x = 1, 2, 5, 7.5, and 10 (wt %) and soaked in simulated body fluid (SBF) for extended periods to explore their suitability for bone bonding applications. The samples were analyzed for their structural, optical, and bioactive properties. XRD and FTIR analysis were used to examine the structural properties of the samples before and after immersion in SBF. The XRD analysis revealed that increasing the Zn content and immersion time led to the formation of a hydroxyapatite (HA) layer inside the glassy matrix, indicating improved bioactivity. The FTIR analysis showed that the addition of ZnO allowed for the conversion of tetrahedral borate units to corresponding triangular units, which improved bioactivity. Electronic spectrum measurements (UV/Vis) were used to assess the samples' optical characteristics, showing that increasing Zn content decreases the optical energy gap, indicating improved optical properties. In conclusion, this study highlights the potential of zinc-doped borate glass as a promising biomaterial for bone replacement applications. The findings indicate that by varying the Zn content, it is possible to improve the physical and optical characteristics of the glass, making it a more viable option for bone replacement. Further research is needed to optimize the composition and properties of zinc-doped borate glass and to assess its long-term performance in vivo.
Stability of Reeb Ordering by Interleaving Distance
Authors: Uda Tomoki
Published: October 2023

The Reeb graph is instrumental in extracting topological features from contour plots. In this context, the Reeb ordering method offers both a natural discretisation and an algorithmic approach to compute a Reeb tree. Our main theorem establishes stability within the interleaving distance among order-compatible topological spaces. Our contributions are fourfold: we construct the reflector functor for quotient structures in ordered spaces, introduce generalised trees in poset terms, define branch completeness for graph-like posets, and prove a strong normalisation theorem for posets. Furthermore, our interleaving distance metric makes our stability estimate much finer than the preceding study.
Nose-to-brain selective drug delivery to glioma via ferritin-based nanovectors reduces tumor growth and improves survival rate
Authors: Colotti Gianni , Marrocco Francesco , Falvo Elisabetta , Mosca Luciana , Tisci Giada , Arcovito Alessandro , Bernardini Roberta , Ceci Pierpaolo , Limatola Cristina , D'Alessandro Giuseppina
Published: October 2023

Gliomas are among the most fatal tumors, and the available therapeutic options are very limited. Additionally, the blood-brain barrier (BBB) prevents most drugs from entering the brain.
We designed and produced a ferritin-based stimuli-sensitive nanocarrier with high biocompatibility and water solubility. It can incorporate high amounts of the potent topoisomerase 1 inhibitor Genz-644282. Here, we show that this nanocarrier, named The-0504, can cross the BBB and specifically deliver the payload to gliomas that express high amounts of the ferritin/transferrin receptor TfR1 (CD71).
Intranasal or intravenous administration of The-0504 both reduce tumor growth and improve the survival rate of glioma-bearing mice. However, nose-to-brain administration is a simpler and less invasive route that may spare most of the healthy tissues compared to intravenous injections. For this reason, the data reported here could pave the way towards a new, safe, and direct ferritin-based drug delivery method for brain diseases, especially brain tumors.
Immune-related adverse event-related adrenal insufficiency mediates immune checkpoint inhibitors efficacy for cancer treatment
Authors: Zhang Shasha , Wu Jianhua , Zhao Yue , Zhang Jingjing , Zhang Xiaoyun , Wu Chensi , Zhang Zhidong , Guo Zhanjun
Published: October 2023

Purpose
Immune checkpoint inhibitors (ICIs) have significantly improved the outcomes of patients with cancer. An increasing number of immune-related adverse events (irAEs) have been discovered with the widespread clinical application of ICIs, which appear to be associated with improved treatment efficacy in certain cancers. We aimed to evaluate the correlation between irAE-related adrenal insufficiency (AI) and ICI treatment efficacy.
Methods
Patients were divided into irAE-A (patients with irAE-related AI), irAE-B (patients with other irAEs) and non-irAE groups. Immunotherapy efficacy was assessed based on the disease control rate (DCR), progression-free survival (PFS), and overall survival (OS). Survival probabilities were estimated using the Kaplan–Meier method with the log–rank test.
Results
One hundred and ninety-two patients with cancer including gastrointestinal, respiratory, and other cancers, who received ICIs were enrolled in this study. The DCR of the irAE-A and irAE-B groups were higher than that of the non-irAE group (P < 0.05). Multiple extended Cox regression analyses showed that irAE status (irAE-A vs. non-irAE, P = 0.008; irAE-B vs. non-irAE, P = 0.020), ECOG status (P = 0.045), TNM stage (P = 0.000), and treatment line (P = 0.002) were independent predictors of PFS. Meanwhile, irAE status (irAE-A vs. non-irAE, P = 0.009; irAE-B vs. non-irAE, P = 0.013), ECOG status (P = 0.007), TNM stage (P = 0.035), treatment line (P = 0.001) and treatment modality (P = 0.008) were independent predictors for OS.
Conclusions
IrAE-related AI was significantly associated with better clinical outcomes in patients with cancer and is a potentially predictable marker for better ICI treatment efficacy.
Influence before Hiring: A Two-tiered Incentive Compatible Mechanism for IoT-based Crowdsourcing in Strategic Setting
Authors: Chattu Bhargavi , Singh Vikash Kumar
Published: October 2023

In this article, a crowdsourcing scenario with multiple heterogeneous tasks and multiple IoT devices is studied as a two-tiered process. In the first tier, it is assumed that a substantial number of IoT devices are not aware of the hiring process and are made aware by utilizing their social connections. Each IoT device reports a cost (private) and is strategic. For the first tier, a truthful budget feasible mechanism is proposed. In the second tier, a set of quality IoT devices is determined and each of them reports private valuation that satisfies gross substitute criteria along with its favorite bundle of tasks. The truthful mechanisms are designed independently for determining the quality of IoT devices, and for hiring them and deciding their payment. Theoretical analysis shows that the proposed mechanisms are computationally efficient, truthful, correct, and budget feasible. The simulation is done to compare the proposed mechanisms with the existing mechanisms.
The fight against malnutrition in a single-party decentralized country: the case of the Lao People’s Democratic Republic (Lao PDR)
Authors: Viphonephom Phonevilay , Kounnavong Sengchanh , Reinharz Daniel
Published: October 2023

Background
Lao PDR, a low-middle income country, has a higher malnutrition rate than other Southeast Asian countries. Decentralization of healthcare is a well-known determinant of the effectiveness of programs to reduce malnutrition, but no study has focused on this factor in Lao PDR.
Methods
A qualitative study was conducted based on a neo-institutional theory conceptual framework. Twenty-four semistructured interviews were performed with actors from different government levels, external donors and civil society. The information obtained from the interviews was supplemented with an analysis of relevant documents. Data were analyzed using NVivo 11 software. The validity of the results was ensured through credibility, transferability, reliability and confirmability.
Results
The services in charge of combating malnutrition in Lao PDR remain largely centralized, despite factors specific to the country that are leading it to promote a certain decentralization of its services. The coherence between the observed structure and the interpretative schemes of the actors concerned, at all levels of governance, ensures the stability of this state of centralization, which has persisted for almost 50 years. However, the socioeconomic changes that the country is undergoing suggest that the centralized structure will become more decentralized in the near future.
Conclusion
The centralization of public programs such as the fight against malnutrition is expected in countries whose system is based on the concept of democratic centralism and that lack expert resources capable of working regionally. However, the institutional environment in which Lao health services are offered is changing. Socioeconomic changes are expected to increase the capacity of public health professionals at regional levels to take more responsibilities in the near future. As a result, the health care structure underlying public health programs such as nutrition programs may become less centralized.
Ancient origin of the rod bipolar cell pathway in the vertebrate retina
Authors: Yoshimatsu Takeshi ,   Ayana Hellevik1, Mardoum Philip , Hahn Joshua , Kolsch Yvonne ,   Florence D’Orazi1, Suzuki Sachihiro , Godinho Leanne , Lawrence Owen , Rieke Fred , Shekhar Karthik , Sanes Joshua , Baier Herwig , Baden Tom , Wong Rachel
Published: October 2023

Vertebrates rely on rod photoreceptors for vision in low-light conditions. Mammals have a specialized downstream circuit for rod signaling called the primary rod pathway, which comprises specific cell types and wiring patterns that are thought to be unique to this lineage. Thus, it has been long assumed that the primary rod pathway evolved in mammals. Here, we challenge this view by demonstrating that the mammalian primary rod pathway is conserved in zebrafish, which diverged from extant mammals ~400 million years ago. Using single-cell RNA-sequencing, we identified two bipolar cell (BC) types in zebrafish that are related to mammalian rod BCs (RBCs) of the primary rod pathway. By combining electrophysiology, histology, and ultrastructural reconstruction of the zebrafish RBCs, we found that, like mammalian RBCs, both zebrafish RBC types connect with all rods in their dendritic territory, and provide output largely onto amacrine cells. The wiring pattern of the amacrine cells post-synaptic to one RBC type is strikingly similar to that of mammalian RBCs, suggesting that the cell types and circuit design of the primary rod pathway have emerged before the divergence of teleost fish and amniotes. The second RBC type, which forms separate pathways, is either lost in mammals or emerged in fish.
Anthracycline-induced myocarditis following Ewing/PNET sarcoma treatment: A case report
Authors: Emami Amir hossein , Alizadehasl Azin , Sayad Masoud , Shavandi Farnaz , Firoozbakhsh Parisa , Meshgi Shahla , Roudini Kamran , Hesami Mahshid , Shiravi Masoumeh , Dokhani Negar
Published: October 2023

Background
Extra-osseous Ewing's sarcoma/primitive neuroectodermal tumor (ES/PNET) is a rare neoplasm that typically affects children. The treatment of choice for this neoplasm is the VAC/IE regimen, which includes doxorubicin. Cardiotoxicity is the prominent side effect of anthracyclines, and myocarditis is an uncommon adverse effect, usually occurring idiosyncratically and being reversible.
Case Presentation
In the current study, we report the case of a 19-year-old female with a mass on the abdominal wall diagnosed with ES/PNET. She was treated with the VAC/IE regimen. A month after the last session of chemotherapy, she experienced dyspnea. Upon evaluation, a high level of troponin and a low left ventricular ejection fraction (LVEF) were detected on transthoracic echocardiography. She was treated with anti-heart failure drugs, but the response was not satisfactory. The possibility of anthracycline-induced myocarditis was suspected, and cardiac magnetic resonance imaging (CMR) confirmed acute myocarditis. This patient exhibited a significant response to intravenous immunoglobulin (IVIG), with her LVEF improving from 20–25–45% within three months.
Conclusion
In this case, anthracycline-induced myocarditis was reversible with accurate diagnosis and treatment, showing a remarkable response to IVIG, which is a favorable treatment for myocarditis in younger patients.
Influence of Variation of Habitat, Season and Prey on the Distribution and Diversity of Reduviid Predators (Hemiptera:Reduviidae) in Southern Western Ghats of Tamil Nadu
Authors: Madasamy Muthupandi , Arokiyaraj Manimaran , Soosaimanickam Maria Packiam
Published: October 2023

Distribution and diversity of reduviid predators (Reduviidae) were recorded from Killikulam semi-arid zone (SAZ), Aralvoimozhi scrub jungle (SJ) and Godayar tropical forest (TF) of Southern Western Ghats, Tamil Nadu, India for 12 months (September 2019to August 2020) to record the dominant predator species which can be utilized as a biocontrol agent of agricultural/forest insect pests. In total 641 individuals, belonging to 7 sub-families, 24 genera and 31 species were recorded from the study regions. More number of species were recorded in SJ (22) compared to SAZ (13) and TF (09). The predator population was high during winter and summer in semi-arid zone, scrub jungle and tropical forest respectively. The most dominant reduviids were Edocla slateri Distant and Rhynocoris fuscipes (Fab.) (50%) than Acanthapis pedestris Stal and Catamirus brevipennis Servile (44.4%) and Irantha armipes (38.9%) in Southern Western Ghats and these reduviids can be utilized in the post management programme. SJ showed higher Shannon-Weiner index (2.552) than Simson’s index (0.146). In general, specific prey population regulates particular reduviid irrespective of the habitat of the Southern Western Ghats.
The influence of climate change on the distribution of the Oak Processionary Moth in Bavaria
Authors: Rosemann Scarlett , Rosemann Bernd
Published: October 2023

The Oak Processionary Moth (OPM) is a heat-loving moth native to the warmer regions of southern Europe, with an increasing range in central Europe. Its caterpillars, living in gregarious aggregations, can cause defoliation of infested trees. The OPM is of particular concern. Stinging hairs of its caterpillars can cause allergic reactions through the skin and respiratory tract. The hypothesis being discussed is that increasing warming caused by climate change favours the spread of thermophilic moths. The study is geographically focused on the Free State of Bavaria/Germany, where the pest first became known in the 1990s. Bavaria's natural forest communities historically contain a high proportion of broadleaved oaks. Because oaks thrive in warm, dry forest landscapes, they are in suspicion promoting the distribution of the OPM. Beside oaks are hosting the OPM, they offer hope for climate-adapted forest conversion because of their good climate resilience. The hypothesis is tested through a systematic study of the habitat characteristics of OPM habitats by matching factors influencing population dynamics with time series of geographically referenced population data. The analysis precedes an extensive literature review and uses OPM population and climate science time series. The results provide fitting data to support the hypothesis. Population dynamics show a high correlation with climate warming parameters, but global warming is not the only factor. The implications for OPM population trends summarise and complement the current state of knowledge and provide a strong rationale for more in-depth research into scenarios for future population trends using geo-databased climate projections, forest history, site and silvicultural data to provide a assured assessment for the long-term success of the 'oak tree' under the threat of increasing infestation by the Oak Processionary Moth.
Personalised Electric Vehicle Charging Stop Planning Through Online Estimators
Authors: Shafipour Elnaz , Stein Sebastian , Ahipasaoglu Selin
Published: October 2023

In this paper, we address the problem of finding charging stops while travelling in electric vehicles (EVs) using artificial intelligence (AI). Choosing a charging station is challenging, because drivers have very heterogeneous preferences in terms of how they trade off the features of various alternatives (for example, regarding the time spent driving, charging costs, waiting times at charging stations, and the facilities provided at the charging stations). The key problem here is eliciting the diverse preferences of drivers, assuming that these preferences are typically not fully known a priori, and then planning stops based on each driver's preferences. Our approach to solving this problem is to develop an intelligent personal agent that learns preferences gradually over multiple interactions. This study proposes a new technique that utilises a small-scale discrete choice experiment as a method of interacting with the driver in order to minimise the cognitive burden on the driver. Using this method, drivers are presented with a variety of routes with possible combinations of charging stops depending on the agent's latest belief about their preferences. In subsequent iterations, the personal agent will continue to learn and refine its belief about the driver's preferences, suggesting more personalised routes that are closer to the driver's preferences. Based on real preference data from EV drivers, we evaluate our novel algorithm and show that, after only a few queries, our method quickly converges to the optimal routes for EV drivers.
50 Jahre Medienkompetenz und kein bisschen weiter?
Authors: Knaus Thomas , Merz Olga , Junge Thorsten
Published: October 2023

Was brauchen Menschen eigentlich, um in einer von (digitalen) Medien geprägten Welt gesellschaftlich handlungsfähig zu sein? Angeregt und beeindruckt von den zahlreichen neuen Leitbildern und Bindestrich-Kompetenzen wie Informations- und Nachrichtenkompetenz (vgl. Meßmer et al. 2021), digitale (Grund-)Bildung (vgl. u. a. Swertz 2018), digitale Mündigkeit (vgl. Bleckmann 2012), digitale Souveränität (vgl. Bettinger/Reißmann 2022), informationelle Selbstbestimmung (vgl. u. a. Albers 2015), informatische Bildung (vgl. u. a. Humbert 2011), Computational Thinking (vgl. Wing 2006), Digital Literacy (vgl. u. a. Buckingham 2007), Data Literacy (vgl. u. a. Van Audenhove et al. 2020) oder DigComp (vgl. u. a. Vuorikari/Kluzer/Punie 2022), stellten wir in unserem Call for Papers für die nun vorliegende 23. Ausgabe der Ludwigsburger Beiträge zur Medienpädagogik – LBzM diese Frage erneut zur Diskussion. Immerhin befasst sich die Medienpädagogik – man glaubt es kaum – bereits seit fünf Jahrzehnten mit dieser Frage! Anlässlich des fünfzigsten Jubiläums von Dieter Baackes Habilitationsschrift widmen wir uns in der aktuellen Ausgabe der LBzM dem tradierten medienpädagogischen Leitbild, der Medienkompetenz – vor dem Hintergrund des digitalen Wandels.
Bildung in der Nächsten Gesellschaft
Authors: Engel Juliane , Kerres Michael
Published: October 2023

Die gesellschaftliche Medienwelt hat sich seit Dieter Baackes Arbeiten grundlegend verändert. Ging es in den 1970er Jahren um Massenmedien, die in der Freizeit von Jugendlichen zunehmend an Bedeutung gewannen, durchdringt die digitale Medientechnik heute die gesellschaftliche Kommunikation. Dirk Baecker beschreibt als zentrale Herausforderung der "Nächsten Gesellschaft" die Bewältigung des Kontrollverlusts, der durch das Verwobensein der Technik mit gesellschaftlichen Handlungspraktiken ihre Leistungsfähigkeit ausgeht. Aus postdigitaler Sicht lassen sich Transformationen von Ordnungen des Wissens durch das Zusammenspiel von (auch unsichtbaren, digitalen) Akteuren analysieren. Während die ursprüngliche Zielperspektive von Medienkompetenz wesentlich auf Partizipation, Diskurs und gesellschaftliche Veränderung ausgerichtet war, schreiben aktuelle Entwürfe einer "digitalen Kompetenz" die Unsicherheit, die mit den Einschnitten der digitalen Epoche einhergehen, regelmäßig dem Individuum zu. Die Idee eines autonomen Subjekts, das durch Bildung Mündigkeit und Souveränität gewinnt, wird jedoch brüchig. Es gilt, den Bildungsbegriff zu befragen, und an Ansätze relationaler Bildungsprozesse anzuschließen. Es geht um einen Bildungsbegriff, der die Bedeutung von Bildung in einer durch das Digitale geprägten Gesellschaft reflektiert und dabei die Idee von Souveränität und Subjektivation neu positioniert.
Combined Multivariate Statistical Techniques and Water Quality Index (WQI) to Evaluate Spatial Variation in Water Quality
Authors: Shaheen Begum  , Shahana Firdous  , Zainab Naeem  , Gul-e-Saba Chaudhry  , Shanza Arshad  , Fakiha Abid  , Sania Zahra  , Sehrish Khan  , Muhammad Adnan  , Yeong Yik Sung  , Tengku Sifzizul Tengku Muhammad
Published: October 2023

In present study, Water Quality Index (WQI) has been assessed of the Rawal Lake which is a major source of drinking water for people in the Federal Capital, Islamabad, and its adjacent city Rawalpindi in Pakistan. For this, the principal component analysis (PCA) and WQI were applied as an integrated approach to quantitatively explore difference based on spatial variation in 11 water quality parameters of the five major feeding tributaries of the Rawal Lake, Pakistan. The results of temperature in water, total dissolved solids, pH, electrical conductivity, chlorides and sulfates were well within the allowable World Health Organisation’s (WHO) limits. However, the heavy metals like cadmium and lead were above permissible limits by the WHO in tributaries of Bari Imam and Rumli. Moreover, this has been proven by the Pearson correlation which suggested strong positive correlation (0.910*) between lead and cadmium. The results of present study were subjected to statistical analysis, i.e., PCA which gave three major factors contributing 96.5% of the total variance. For factor 1, pH, TDS, alkalinity, chlorides, sulfates and zinc have highest factor loading values (>0.60) and presented that these parameters were among the most significant parameters of first factor. As per the WQI results, the water was categorised in two major classes indicating that water of Bari Imam and Rumli is highly contaminated with heavy metals and totally unsuitable for drinking purposes. Based on the results of the present study, it is suggested to make heavy metals consideration as an integrated component in future planning for maintaining water quality of the Rawal Lake and its tributaries.
Benefits of Erinacines from Different Cultivate Formulas on Cognitive Deficits and Anxiety-Like Behaviour in Mice with Trimethyltin-Induced Toxicity
Authors: Yaovapa Aramsirirujiwet  , Teerachart Leepasert  , Danita Piamariya  , Wachiryah Thong-asa
Published: October 2023

We investigated the neurological effects of the varied erinacine composition of different mycelia cultures in mice with trimethyltin (TMT)-induced neurodegeneration. Forty male ICR mice were randomly divided into five groups of Sham-veh, TMT-veh, TMT-EME, TMT-EMR and TMT-EME/R. The TMT groups received 2.6 mg/kg one-time intraperitoneal injections of TMT. Oral dosages of 200 mg/kg erinacine combination from each Hericium erinaceus mycelia (EM) cultivated formula (100% eucalyptus wood [E], 100% rubber wood [R], or 40% eucalyptus wood/60% rubber wood [E/R]) were given for 2 weeks. Spatial learning, memory, flexibility, and anxious behaviour were evaluated alongside brain tissues’ oxidative status and histological analyses. Erinacine composition from EME/R exhibited significant positive effects on spatial learning, memory, flexibility, and anxiety (p < 0.05). These findings emerged concurrently with the significant mitigation of hippocampal lipid peroxidation, CA1 hippocampal, cortical neuron, and corpus callosum white matter degeneration (p < 0.05). These neurological benefits were associated with the EME/R composition of erinacine A, C, D, G, H, I, K and R. The best neuroprotective effect against TMT-induced neurodegeneration in mice is offered by the EME/R erinacine composition according to its anti-lipid peroxidation, its nurturing effect on neuronal and white matter, and mitigation of behavioral deficits.
Modern Müzecilikte Sanal Eğilimler Üzerine Mimari Bağlamda Bir Araştırma
Authors: Gür Semiyye Münise , Köymen Erdem
Published: October 2023

Bu makale kapsamında AR, VR ve Metaverse gibi ileri düzey yazılımsal teknolojilerin kullanıldığı müze yapıları üzerine mimari bağlamlı bir araştırma yapılmıştır. Araştırmada ülkemiz ve yurtdışından müze örnekleri incelenmiş, bu örneklerin “fiziksel” mekâna alternatif olarak bünyesinde barındırdığı “sanal” ortam sağlayan yazılımsal teknolojilerine odaklanılmıştır. Sonrasında incelenen örnekler, birlikte değerlendirilmiştir. Yapılan kıyaslamalar ile müze örneklerinde bu teknolojilerin yaygın kullanım yöntemleri tespit edilmiştir. Dünya geneline göre ülkemizin durumu yorumlanmış, ülkemizdeki eksikliklere değinilerek yazılımsal geliştirmeler için kıyaslamalar eşliğinde çıkarımlarda bulunulmuştur.
Müzelerde yeni teknolojilerin sergilere dâhil edilmesi, kültürel miras alanının varlığını rekabet ortamında sürdürebilmesi için bir anahtar görevi göreceği açıktır. Bu çıkarıma paralel olarak turizm işletmelerinde ve kültürel miras alanlarında, ziyaretçi deneyimini artırmak adına AR, VR gibi uygulamalardan ülkemizde eski tarihlere göre daha fazla faydalanıldığı görülmüştür. Buna karşın söz konusu müze uygulamalarına teknolojik gelişmeler doğrultusunda farklı yazılımsal içerikli uygulamaların daha çok dâhil edilmesiyle birlikte, müzelerimizde bilgi aktarımının daha verimli olacağı sonucuna makale kapsamında varılmıştır.
Upaya Indonesia Mengurangi Eksploitasi Seksual Komersial Anak (ESKA) di Industri Pariwisata dalam Mewujudkan Tujuan Pembangunan Berkelanjutan 2030
Authors:   Islamic State University of Sunan Ampel Surabaya, Irawan Jingga Cahya , Amaliyah Ridha
Published: October 2023

This article highlights the Indonesian Government's efforts to reduce Commercial Sexual Exploitation of Children (CSEC) in the tourism industry as a realization of supporting the sustainable development agenda, in order to create a society that is more alert to sexual violence against children. CSEC in the tourism industry usually involves perpetrators from foreign and domestic tourists who place children in physical and mental sexual harm. This issue affects the ability of national governments to protect their citizens in the context of sustainable development. Through the lens of international regimes and human security, this article reveals two main points. First, the Indonesian Government's efforts are in line with the mandate in the Optional Protocol to the Convention on the Rights of the Child on the sale of children, child prostitution and child pornography (OPSC). Second, the Indonesian Government, led by the Ministry of Women's Empowerment and Child Protection (KPPPA) together with the Ministry of Tourism and the Directorate General of Immigration, the Ministry of Law and Human Rights of the Republic of Indonesia, has a series of national programs/plans to reduce Commercial Sexual Exploitation of Children (CSEC) in the tourism industry, namely (1) the declaration of Child Friendly Districts/Cities; (2) creation of child-friendly rural tourism free from exploitation; (3) establishment of a Community-Based Integrated Child Protection network; (4) stipulation of PP No.70 of 2020 concerning Chemical Castration; and (5) tightening the rules for entry and stay permits for foreigners. This series of efforts carried out by the Indonesian government can direct, shape mindsets and sensitize the Indonesian people to combat CSEC in the tourism industry in order to achieve sustainable development by 2030.
Territorial-Human Resources Management (T-HRM): From History to Emergence
Authors: Niasse Ndiaga , Kane Demba
Published: October 2023

The paper aims to highlight a relatively new phenomenon in management sciences:Territorial-Human Resources Management (T-HRM). Since its inception in the Francophone literature more than fifteen years, this topic has been subjected to a growing body of research, including both em-pirical and theoretical developments. The paper relies on a theoretical approach that stands from recalling T-HRM historical perspective to shedding the light on the following questions : how does T-HRM emerge ? How it is defined and what are the main practices ? On the basis of what line ofresearch it may be associated ? Limitations derived from the French model of T-HRM allowproviding a new and extended definition quite useful for future research that merely will be basedon the Western perspective of T-HRM that we lay the foundation for. In contrast to previous stud-ies that still confine T-HRM in the Francophone literature, our study goes beyond these precursorworks and provides new insights for worldwide scholars with a new and extended definition of T-HRM. This may be the first study conducted in English about the topic and the paper may be help-ful for those new in this field.
Guided discovery dan learning trajectory untuk meningkatkan kemampuan pemahaman konsep matematika
Authors: Musannadah Rina , Sholihah Nur
Published: October 2023

Artikel ini memaparkan hasil penelitian yang bertujuan untuk menganalisa apakah terdapat peningkatan kemampuan pemahaman konsep matematis peserta didik setelah pembelajaran menggunakan model guided discovery yang mengacu pada learning trajectory. Artikel ini ditulis berdasarkan hasil studi literatur dengan cara menganalisa, meringkas dan menyimpulkan. Guru memiliki peranan penting dalam meningkatkan kemampuan pemahaman konsep matematis peserta didik. Salah satu cara yang dapat digunakan oleh guru adalah dengan menerapkan model pembelajaran guided discovery. Selain itu, dengan menggunakan learning trajectory guru dapat memahami cara berpikir peserta didik, sehingga dapat memahami bagaimana cara membantu peserta didik untuk mempelajari matematika dengan baik. Hasil studi literatur menunjukkan bahwa model pembelajaran guided discovery yang mengacu pada learning trajectory mampu meningkatkan kemampuan pemahaman konsep peserta didik.
Performa Metode Elastic-Net dalam Kasus Multikolinearitas pada Analisis Linear Berganda
Authors: Sinaga Hizkia Edwar , Saputro Dewi Retno Sari
Published: October 2023

Analisis linear berganda umum digunakan untuk menganalisis data dengan variabel yang banyak. Selama proses menganalisa terdapat masalah umum yang sering dijumpai yaitu multikolinearitas. Multikolinearitas dapat diartikan sebagai adanya korelasi antara dua atau lebih variabel bebas. Multikolinearitas dapat dideteksi dengan cara: menghitung koefisien korelasi antara sesama variabel bebas, menghitung nilai Variance Inflation Factor (VIF), menghitung nilai TOL yaitu suatu ukuran tolerance untuk deteksi multikolinearitas, dan menghitung Condition Number (CN). Multikolinearitas dapat diatasi dengan cara: menambah data baru, menerapkan analisis komponen utama, menggunakan regresi gulud, menggunakan metode LASSO, dan menggunakan metode Elastic-Net. Metode Elastic-Net merupakan salah satu cara terbaik yang dapat digunakan. Elastic-Net menggabungkan penalti penyusutan regresi gulud dan LASSO sehingga membuatnya lebih efisien. Apabila 0, penalti penyusutan Elastic-Net menjadi penlati penyusutan regresi gulud. Apabila 1, penalti penyusutan Elastic-Net menjadi penaltipenyusutan LASSO. Hasil penelitian menunjukkan performa metode Elastic-Net dapat menangani multikolinearitas pada analisis linear berganda.

Kata kunci: Analisis Linear Berganda, Multikolinearitas, Elastic-Net
Rancang Bangun Media Pembelajaran Matematika Berbasis Android pada Materi Kalkulus Diferensial
Authors: Al Hakim Rosyid Ridlo , Setyowisnu Glagah Eskacakra
Published: October 2023

Media pembelajaran dewasa ini sudah berbasis teknologi informasi smartphone Android. Sebagai salah satu sarana dalam pembelajaran, media pembelajaran berbasis teknologi smartphone Android dapat menjadi inovasi peningkatan kualitas pembelajaran khususnya di bidang matematika. Materi-materi pembelajaran yang ada pada rumpun ilmu matematika sangat beragam, salah satunya materi kalkulus diferensial. Penelitian ini berusaha membangun aplikasi media pembelajaran yang berbasis smartphone Android untuk materi kalkulus diferensial. Metode penelitian ini terdiri atas tahapan perancangan, analisis kebutuhan sistem, UML sistem berjalan, dan implementasi sistem. Aplikasi media pembelajaran materi kalkulus diferensial dibangun dalam bentuk mobile-app yang berbasis Android dan dapat berjalan pada versi Android 6.0 Marshmellow atau lebih tinggi. Aplikasi media pembelajaran terdiri atas beberapa menu antara lain pendahuluan, limit, turunan dan aplikasinya, dan deret tak hingga. Pengujian seluruh fitur yang diujikan pada sistem memberikan hasil sesuai harapan.
Eksplorasi Konten Transformasi Geometri Berbasis Etnomatematika Pakaian Adat Suku Dayak Kenyah
Authors: Edi Sarwo
Published: October 2023

Pembelajaran kontekstual pada matematika SMP merupakan amanat dari kurikulum matematika di seluruh dunia, termasuk Indonesia. Pembelajaran matematika perlu dikaitkan dengan konteks nyata yang ada di sekitar peserta didik. Salah satu pembelajaran matematika kontekstual yang dapat digunakan adalah pembelajaran matematika berbasis etnomatematika. Etnomatematika merupakan pembelajaran matematika berbasis budaya. Penelitian ini bertujuan mengeksplorasi konten transformasi geometri yaitu translasi, refleksi, rotasi, dan dilatasi pada pakaian adat suku Dayak Kenyah. Penelitian ini merupakan penelitian deskriptif kualitatif dengan menggunakan studi etnografi. Data dikumpulkan dengan cara studi literatur terkait pakaian adat suku Dayak Kenyah, wawancara, observasi, dan dokumentasi untuk memperoleh data yang valid. Setelah data diperoleh kemudian dianalisis dan dikelompokkan sesuai dengan konten transformasi geometri. Hasil penelitian menunjukkan bahwa pada pakaian adat suku Dayak Kenyah ditemukan konten transformasi geometri yaitu translasi, refleksi, rotasi, dan dilatasi.