Miracle-dz/UniFAR-FTUs huggingface dataset:
Prognostic Role of Pretreatment Prognostic Nutritional Index in Advanced Lung Cancer Patients Receiving First-Line Immunotherapy: A Meta-Analysis

The aim of this study was to further explore the association between pretreatment prognostic nutritional index (PNI) and survival among advanced lung cancer patients who received the first-line immunotherapy based on current relevant studies. Several databases were searched up to July 17, 2023. Progression-free survival (PFS) and overall survival (OS) were primary outcomes and the hazard ratios (HRs) with 95% confidence intervals (CIs) were combined. Subgroup analysis based on the pathological type [non-small cell lung cancer (NSCLC) vs small cell lung cancer (SCLC)] and combination of other therapies (yes vs no) were performed. Ten studies with 1291 patients were included eventually. The pooled results demonstrated that higher pretreatment PNI was significantly related to improved PFS (HR=0.62, 95% CI: 0.48-0.80, P＜0.001) and OS (HR=0.52, 95% CI: 0.37-0.73, P＜0.001). Subgroup analysis revealed that the predictive role of pretreatment PNI for PFS (HR=0.61, 95% CI: 0.45-0.81, P=0.001) and OS (HR=0.52, 95% CI: 0.35-0.77, P=0.001) was only observed among NSCLC patients and the combination of other therapies did not cause an impact on the prognostic role of PNI in lung cancer. Pretreatment PNI was significantly associated with prognosis in advanced NSCLC receiving first-line immunotherapy and patients with a lower pretreatment PNI had poorer survival.
Antioxidant Activity of DPPH Method on Stone Banana Flour with Blanching Drying and Temperature Treatment

Stone banana is a type of banana that has seeds in the fruit. Ares is a young banana stem. Banana stems called ares, located on the inside of banana stems. The objective of this research was to identify the antioxidant capabilities of stone banana fields as they are dried and heated with a UV-Vis spectrophotometer. The results showed that stone banana ares flour has very weak antioxidant activity. It's characterized by an IC50 value of over 500 ppm, which can be interpreted as having a low activity or potential as an antioxidant. The solar drying method and blanching temperature of 85 °C obtained the smallest IC50 average value of 42,429.90 ppm with a very weak category
Safe data transmission in IoT system for air pollution monitoring

The quality of air has emerged as a worldwide concern, primarily driven by the rapid growth of urban areas and industrialization. Poor air quality represents a significant environmental health risk in Europe, leading to severe health issues. It’s not only external air pollution that poses a problem; internal air pollution can be equally detrimental, resulting in adverse health consequences. Utilizing the Internet of Things (IoT) is a practical solution for monitoring and disseminating real-time information about air quality. Numerous IoT-based systems for air quality monitoring, employing micro-sensors for data collection, have been suggested. This proposed system enables real-time localized monitoring of air quality and data transmission to end-users. Furthermore, the work introduces a secure data transmission protocol to ensure the system’s security. This protocol offers protection against system-wide attacks and interception, which could otherwise be exploited for disinformation purposes.
Influence of Pasteurisation (Conventional vs. Radiofrequency) and Chill Storage on Retention of Ascorbic Acid, Tocopherol and Carotenoids in Salmorejo

Salmorejo, a Mediterranean tomato-oil puree, is considered a dietary source of antioxidant vitamins C and E and carotenoids lycopene and β-carotene, the latter endowed with provitamin A activity. However, these antioxidants can be degraded in oxidation reactions catalysed or not by enzymes during pasteurisation and storage treatments used to stabilise the salmorejo before consumption. Due to its better penetration, the use of dielectric heating by radiofrequency (RF) may improve results of pasteurisation in this product. The objective was to assess the effects of pasteurisation temperature (70–100 °C, at 5 °C intervals) and storage time (0–5 months, at one-month intervals) on levels of ascorbic acid, α-tocopherol and carotenoids and antioxidant capacity (AC) in salmorejo pasteurised (over 10 s) by conventional (CH) or RF continuous heating. Two successive experiments were conducted to select an adequate pasteurisation temperature for use in the shelf-life study. Pasteurisation upon tested conditions allows a good retention of salmorejo antioxidants. Either CH or RF pasteurisers can be used with similar results. Vitamin C (L-ascorbic + dehydroascorbic acids) was more abundant (15–19 mg 100 g−1) than carotenoids (0.9–2.6 mg 100 g−1) (all-trans + cis lycopene and β-carotene) and α-tocopherol (0.8–1.2 mg 100 g−1) in the pasteurised product. Using excessively low temperatures (70 °C) resulted in partial losses of the three antioxidants, possibly due to oxidase residual activities. Intensifying thermal treatment improved this issue with minor losses of the thermolabile vitamin C and increased carotenoid content. Using a suitable temperature (80 °C) did not prevent most vitamin C from being degraded by the first month, while α-tocopherol, and, to a lesser extent, carotenoids, showed good retention levels during shelf life under refrigeration. Vitamins C and E and carotenoids, either by degradation, regeneration or releasing, likely contribute to the AC in salmorejo. Phenolic antioxidant response, radical-scavenging activities and redox potential values confirmed this finding. The pasteurised-chilled salmorejo shows good antioxidant properties with potential health implications, a positive nutritional aspect for consumers of this tomato-oil homogenate. The losses of antioxidants and AC due to pasteurization would be of little relevance compared to the losses accumulated during shelf life.
The role of travel conditions in cycling tourism: implications for destination and event management

ABSTRACT The purpose of this study was to explore the influence of travel conditions on preferred destination, event, and travel characteristics in the context of Active-Sport-Event Travel Carers among cyclists who travel to take part in events. Travel conditions are circumstances surrounding a trip such as travel with family or the length of travel. A sample of cyclists that travel to participate in events (N = 1452) was collected via online survey through cycling organizations and websites. Data analysis consisted of a series of repeated measures ANOVAs and paired sample t-tests. The results indicated an individual's event, destination, and travel-style preferences are dependent on whether he or she was traveling with a non-cyclist (e.g. family member) and the distance traveled. Prior research has suggested that for active sport tourists event criteria are more important than destination characteristics and travel preferences remain relatively stagnant with career progression. In contrast, the findings here suggest travel preferences vary based on travel conditions and that attractive destinations only become advantageous if event participants are traveling with non-cyclists or on trips involving longer distances. For instance when non-participant travel companions are included, the entertainment, attractions, and activities available in the destination become much more important to active event tourists. Communities seeking to attract sport tourists as a form of sustainable tourism development would be advised to organize events incorporating these preferences and to consider the influence of travel conditions.
Effects of Extreme-Ambient Temperatures in Silver Barb (Barbonymus gonionotus): Metabolic, Hemato-Biochemical Responses, Enzymatic Activity and Gill Histomorphology

A global interest in Silver Barb (Barbonymus gonionotus) cultivation has arisen because of a combination of declining wild stock and a steady increase in demand and market value. The purpose of the current investigation was to evaluate the impact of extreme water temperature changes on growth, hemato-biochemical responses, pepsin enzyme activity and gill histomorphology of B. gonionotus. Four distinct temperatures (22, 26, 30 and 34 °C) were applied in the laboratory (22, 26, 30 and 34 °C) in triplicate glass aquariums (150 L each). At 30 and 22 °C, respectively, the highest and the lowest length and weight gain, specific, daily and relative growth rates were noted. At 30 °C the lowest FCR was recorded (1.42 ± 0.04). The values related to hematology and biochemistry were found to be within normal ranges; nevertheless, there was a notable variation in the parameters when the temperature changed. Hematological results revealed that RBC, HB, PLT, HCT and PMV levels were significantly higher in groups 30 °C with respect to others. It was evident that cold and heat shock stress was present due to the decline in hematocrit levels and rise in WBC values. Regarding the biochemical responses, the level of triglycerides, cholesterol, AP, Ca+, HDL, and HDL/LDL ratio increased significantly higher at 30 °C. Glucose, total protein, albumin, Na+, K+, Cl−1, AST, bilirubin, uric acid, and LDL levels were significantly higher at 22 °C compared to other temperatures. There was a higher pepsin activity between 26 and 30 °C while the digestive somatic index (IDS) was disproportionate. Histological examination demonstrated the well-shaped gill tissues at 26 and 30 °C compared to distinctive pathology in other temperature treatments. As an end note, the results of the experiment indicated that B. gonionotus should be cultured at 26–30 °C to maximize the overall productivity and the health condition of this economically important fish species.
High-Resolution Flood Monitoring Based on Advanced Statistical Modeling of Sentinel-1 Multi-Temporal Stacks

High-resolution flood monitoring can be achieved relying on multi-temporal analysis of remote sensing SAR data, through the implementation of semi-automated systems. Exploiting a Bayesian inference framework, conditioned probabilities can be estimated for the presence of floodwater at each image location and each acquisition date. We developed a procedure for efficient monitoring of floodwaters from SAR data cubes, which adopts a statistical modelling framework for SAR backscatter time series over normally unflooded areas based on Gaussian processes (GPs), in order to highlight flood events as outliers, causing abrupt variations in the trends. We found that non-parametric time series modelling improves the performances of Bayesian probabilistic inference with respect to state-of-the-art methodologies using, e.g., parametric fits based on periodic functions, by both reducing false detections and increasing true positives. Our approach also exploits ancillary data derived from a digital elevation model, including slopes, normalized heights above nearest drainage (HAND), and SAR imaging parameters such as shadow and layover conditions. It is here tested over an area that includes the so-called Metaponto Coastal Plain (MCP), in the Basilicata region (southern Italy), which is recurrently subject to floods. We illustrate the ability of our system to detect known (although not ground-truthed) and smaller, undocumented inundation events over large areas, and propose some consideration about its prospective use for contexts affected by similar events, over various land cover scenarios and climatic settings.
Sinonasal Burkitt’s CD20 Negative Lymphoma : A Case Report

Burkitt's lymphoma is a B Cells non-lymphoma Hodgkin's that is aggressive, has a high degree of gradation, and is made up of diffuse, non-cleaved, undifferentiated, tiny cells that usually expresses CD20 positive . A very uncommon kind of juvenile cancer is Burkitt lymphoma (LB). 1, 2 100 new cases are recorded annually in the United States, compared to a frequency of 100 cases per million children in Africa. We report this case because of the rarity of Burkitt’s CD20 negative lymphoma. A 9-year-old girl who has a main complaint of eye swollen for almost two months. A bump with redness, swelling, and discomfort in the left eye that radiates to the head occurs after two weeks of before entering the hospital. Another complaint made by the patient was a big, pus-oozing lump in the left cheek and nose. On MSCT Scan examination, a solid mass was found in the left maxillary sinus, left ethmoid sinus, right left frontal sinus, left sphenoid sinus, left nasal cavity, and entered the extra orbital and left intraconal cavities, which forced the bulbus oculi to anterosuperior and caused proptosis bulbi. The mass also extended to the left parasella and caused destruction of the medial, anterior, and lateral walls of the left maxillary sinus. the patient will be treated with chemotherapy with the CHOP regimen with a dose of Cyclophosphamide 600 mg/m2 per body surface area (LPT), Doxorubicin 50 mg/m2 per LPT, Oncovin/Vincristine 1.4 mg/m2 per LPT, and Prednisone 50 mg. So the patient received Cyclophophamide 468 mg, Doxorubicin 40 mg, and Oncovin/Vincristine 1 mg. Then the patient was admitted to undergo the first chemotherapy. In this case it was suffered by a 9 year old girl and the symptoms of a lump in the eye and left cheek were getting bigger and bigger, with histopathological results obtained cells with "Starrys Sky" pattern, which supports the diagnosis of Burkitt's Lymphoma so that the patient receives chemotherapy treatment. The result of immunohistochemical staining for CD20 was negative.The chemotherapy regimen consist of cychlosfamide, doxorubicin, oncovin and prednisone. Patient was diagnosed with stage II E Burkitt lymphoma, ECOG I, ccomplete respons.
Blastomycosis Complicated by Adult Respiratory Distress Syndrome in an Immunocompetent Adult: A Case Report and Literature Review

Blastomycosis is an endemic mycotic infection caused by inhalation of thermally dimorphic fungi from the genus Blastomyces. Blastomyces dermatitidis is the species most related to human infection in the USA and North America. Adult respiratory distress syndrome (ARDS) is a rare complication of blastomycosis and is associated with high mortality. Due to its rarity, evidence-based guidelines for diagnosing and treating ARDS associated with blastomycosis are scarce. In this case presentation, a 22-year-old male with a history of chronic cannabis use presented with severe respiratory symptoms, initially treated as community-acquired pneumonia. Despite antibiotic treatment, his condition deteriorated, necessitating intubation and resulting in the development of ARDS. A delayed diagnosis of pulmonary blastomycosis was confirmed through polymerase chain reaction testing. Treatment with amphotericin B and corticosteroids proved successful in addressing the fungal infection, leading to the recovery of the patient from his severe clinical condition. This case highlights the challenges associated with diagnosing and treating blastomycosis, particularly when complicated by ARDS, emphasizing the importance of considering fungal infections in the differential diagnosis of non-responsive pulmonary infections. Additionally, it suggests the potential utility of corticosteroids in severe cases and emphasizes the crucial role of early diagnosis and a combination of diagnostic modalities for the timely management of this rare and potentially life-threatening condition.
Egyptian Jallab as Sugar Substitute, Antioxidant, and Colorant Agent in the Manufacturing of Functional Ice Cream

Egyptian Jallab (EJ) is a conical candy (light to dark brown), manufactured from a part of sugar cane juice, that is used in the black honey industry. EJ is considered an unrefined sugar or a non-centrifugal form of sugar. The traditional use of Jallab is as candy, but it can also be used for making ice cream, cupcakes, biscuits, and toffee, as well as being used in other food applications. In this study, EJ was used as a sugar substitute in ice cream at 0, 25, 50, 75, and 100%. Total solids, titratable acidity, pH, protein, ash, fat, specific gravity, weight per gallon, viscosity, color attributes, total antioxidant activity, total phenolic content, and total flavonoid contents, as well as microbiological analyses, were tested. The total solids, protein, and ash in the Egyptian Jallab ice cream (EJIC) increased from 39.30, 4.85, and 0.87 to 41.19, 6.36, and 1.42, respectively. The gradual sugar substitution led to a significant increase in specific gravity and weight per gallon in pounds. The lightness (L*) of the ice cream decreased significantly due to the substitution of EJ for sugar. Moreover, there was a significant increase in a* (from 0.147 in control samples to 5.52 in treatment 4, which had 100% EJ). The changes in the b* values of Jallab ice cream samples were significantly increased due to the substitution of EJ for sugar. The control samples had a low value of antioxidant activity (21.53%) when compared with the treatment, which has EJ (88.82, 89.96, 91.98, and 92.14%) for EJIC1, EJIC2, EJIC3, and EJIC4, respectively. The total phenolic contents are 2.07, 3.03, 4.14, and 4.68 fold higher in the treatments with EJ substituted for sugar than in the control samples. Total flavonoid contents increased from 5.73 mg QE g−1 in control samples (TC) to 14.68, 21.54, 30.48, and 34.15 mg QE g−1 in EJIC1, EJIC2, EJIC3, and EJIC4 mg QE g−1 in ice cream samples, respectively.
Application of Adaboost Algorithm in Enterprise Financial Risk Analysis Model

Adaboost (Adaptive Boosting) algorithm is an ensemble learning method, which combines multiple weak classifiers to build a strong classifier, and improves the performance of the model iteratively. It is widely used in various fields, including enterprise financial risk analysis models. Therefore, this article used the Adaboost algorithm to study the financial risk analysis model, with the aim of improving the accuracy of risk prediction. This paper mainly used the method of experiment and algorithm comparison to compare the performance of Adaboost algorithm, decision tree algorithm and Logistic regression model. The experimental data showed that the recall rate of high-risk categories was 0.91, which means that the success rate of the AdaBoost model in predicting high-risk companies was 91%; the specificity was 0.902, which was 90.2% of the predicted risk-free enterprises in the model. The F1 value reached 0.818, indicating that the model performs well in predicting risk categories.
Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing

IoT devices fundamentally lack built-in security mechanisms to protect themselves from security attacks. Existing works on improving IoT security mostly focus on detecting anomalous behaviors of IoT devices. However, these existing anomaly detection schemes may trigger an overwhelmingly large number of false alerts, rendering them unusable in detecting compromised IoT devices. In this paper we develop an effective and efficient framework, named CUMAD, to detect compromised IoT devices. Instead of directly relying on individual anomalous events, CUMAD aims to accumulate sufficient evidence in detecting compromised IoT devices, by integrating an autoencoder-based anomaly detection subsystem with a sequential probability ratio test (SPRT)-based sequential hypothesis testing subsystem. CUMAD can effectively reduce the number of false alerts in detecting compromised IoT devices, and moreover, it can detect compromised IoT devices quickly. Our evaluation studies based on the public-domain N-BaIoT dataset show that CUMAD can on average reduce the false positive rate from about 3.57% using only the autoencoder-based anomaly detection scheme to about 0.5%; in addition, CUMAD can detect compromised IoT devices quickly, with less than 5 observations on average.
The Degree of Exercise of Academic and Sports Freedom among Faculty Members at the Colleges of Physical Education and Sports Sciences in Baghdad

The faculties of physical education and sports sciences have made great contributions to the development of the Iraqi individual educationally, physically, and skillfully, so they were the developed academic resource for proper sports upbringing, and the author has tried to offer a practical and analytical framing of the views of the research sample regarding sports academic freedom, Being a civilized thought that establishes a promising organizational culture that preserves the country’s cultural heritage and develops the energies and resources to manage the present and the future, as well as enhancing the faculty’s confidence in the abilities and preparations for rapid adaptation to various variables in the labor market, the research has tried to answer the question that formed the research problem. The researcher has tested the correlation and influence between the axes of the sports academic freedom scale, which was built according to the scientific conditions for building educational and psychological standards, as well as measuring the degree of sports academic freedom practiced by the teaching staff at the colleges of physical education and Sports Sciences in Baghdad, the research has concluded several theoretical and practical conclusions, the most important of which: (1) The field research data revealed that there is a correlation and a moral impact between the axes of academic sports freedom in the colleges of physical education and Sports Sciences in Baghdad. (2) The field research data indicated that the colleges administration strengthened academic and sports freedom in the field of (teaching, freedom of expression and scientific research), without taking the field of decision-making, where it was the lowest degree compared to the rest of the axes.
Knowledge Graphs in Spatial-Temporal Cluster Evolution Analysis

Graphs have been used as the foundation for several types of analysis methods in multiple application domains. In our study, we investigate spatial-temporal data analysis using graphs that capture knowledge about clusters of moving objects, their relationships, and their evolution. The study cope with the need to provide analysis techniques that consider cluster evolution. In this paper, we describe our ongoing study on knowledge graphs in spatial-temporal cluster evolution and potential research directions.
SENSING MECHANISM AND APPLICATION OF MECHANICAL STRAIN SENSOR: A MINI-REVIEW

This study reviews the potential of flexible strain sensors based on nanomaterials such as carbon nanotubes (CNTs), graphene, and metal nanowires (NWs). These nanomaterials have excellent flexibility, conductivity, and mechanical properties, which enable them to be integrated into clothing or attached to the skin for the real-time monitoring of various activities. However, the main challenge is balancing high stretchability and sensitivity. This paper explains the basic concept of strain sensors that can convert mechanical deformation into electrical signals. Moreover, this paper focuses on simple, flexible, and stretchable resistive and capacitive sensors. It also discusses the important factors in choosing materials and fabrication methods, emphasizing the crucial role of suitable polymers in high-performance strain sensing. This study reviews the fabrication processes, mechanisms, performance, and applications of stretchable strain sensors in detail. It analyzes key aspects, such as sensitivity, stretchability, linearity, response time, and durability. This review provides useful insights into the current status and prospects of stretchable strain sensors in wearable technology and human–machine interfaces.