Fractional dynamics study: analytical solutions of modified Kordeweg-de Vries equation and coupled Burger's equations using Aboodh transform.

The study examines the using of Aboodh residual power series method and the Aboodh transform iteration method (ATIM) to analyze modified Korteweg-de Vries equation (mKdV) beside coupled Burger's equations in the framework of the Caputo operator. These sets of equations represent the non-linear wave description for various physical systems. Through APM and ATIM, the solution for the coupled Burger's equations and the mKdV equation get accurate dynamics information that will reveal the nature of their interactions. Using mathematically proven techniques and computational simulations, the developed methods' efficiency and reliability are illustrated in the complex behaviors of these nonlinear wave equations, so that we can gain deeper insights into their complex dynamics. The research is aimed at an increase of the knowledge about the fractional calculus utilization for nonlinear wave motion and it also provides analytical tools for an analysis of wave acting in different scientific and engineering areas.

Unravelling the therapeutic potential of forkhead box proteins in breast cancer: An update (Review).

Breast cancer, a prominent cause of mortality among women, develops from abnormal growth of breast tissue, thereby rendering it one of the most commonly detected cancers in the female population. Although numerous treatment strategies are available for breast cancer, discordance in terms of effective treatment and response still exists. Recently, the potential of signaling pathways and transcription factors has gained substantial attention in the cancer community; therefore, understanding their role will assist researchers in comprehending the onset and advancement of breast cancer. Forkhead box (FOX) proteins, which are important transcription factors, are considered crucial regulators of various cellular activities, including cell division and proliferation. The present study explored several subclasses of FOX proteins and their possible role in breast carcinogenesis, followed by the interaction between microRNA (miRNA) and FOX proteins. This interaction is implicated in promoting cell infiltration into surrounding tissues, ultimately leading to metastasis. The various roles that FOX proteins play in breast cancer development, their intricate relationships with miRNA, and their involvement in therapeutic resistance highlight the complexity of breast cancer dynamics. Therefore, recognizing the progress and challenges in current treatments is crucial because, despite advancements, persistent disparities in treatment effectiveness underscore the need for ongoing research, with future studies emphasizing the necessity for targeted strategies that account for the multifaceted aspects of breast cancer.

The solitary solutions for the stochastic fractional Chen Lee Liu model perturbed by multiplicative noise in optical fibers and plasma physics.

In this paper, we consider the stochastic fractional Chen Lee Liu model (SFCLLM). We apply the mapping method in order to get hyperbolic, elliptic, rational and trigonometric stochastic fractional solutions. These solutions are important for understanding some fundamentally complicated phenomena. The acquired solutions will be very helpful for applications such as fiber optics and plasma physics. Finally, we show how the conformable derivative order and stochastic term affect the exact solution of the SFCLLM.

Synthesis, In Vitro Biological Evaluation and Molecular Modeling of Benzimidazole-Based Pyrrole/Piperidine Hybrids Derivatives as Potential Anti-Alzheimer Agents.

Benzimidazole-based pyrrole/piperidine analogs (1-26) were synthesized and then screened for their acetylcholinesterase and butyrylcholinesterase activities. All the analogs showed good to moderate cholinesterase activities. Synthesized compounds (1-13) were screened in cholinesterase enzyme inhibition assays and showed AChE activities in the range of IC50 = 19.44 ± 0.60 µM to 36.05 ± 0.4 µM against allanzanthane (IC50 = 16.11 ± 0.33 µM) and galantamine (IC50 = 19.34 ± 0.62 µM) and varied BuChE inhibitory activities, with IC50 values in the range of 21.57 ± 0.61 µM to 39.55 ± 0.03 µM as compared with standard allanzanthane (IC50 = 18.14 ± 0.05 µM) and galantamine (IC50 = 21.45 ± 0.21 µM). Similarly, synthesized compounds (14-26) were also subjected to tests to determine their in vitro AChE inhibitory activities, and the results obtained corroborated that all the compounds showed varied activities in the range of IC50 = 22.07 ± 0.13 to 42.01 ± 0.02 µM as compared to allanzanthane (IC50 = 20.01 ± 0.12 µM) and galantamine (IC50 = 18.05 ± 0.31 µM) and varied BuChE inhibitory activities, with IC50 values in the range of 26.32 ± 0.13 to 47.03 ± 0.15 µM as compared to standard allanzanthane (IC50 = 18.14 ± 0.05 µM) and galantamine (IC50 = 21.45 ± 0.21 µM). Binding interactions of the most potent analogs were confirmed through molecular docking studies. The active analogs 2, 4, 10 and 13 established numerous interactions with the active sites of targeted enzymes, with docking scores of -10.50, -9.3, -7.73 and -7.8 for AChE and -8.97, -8.2, -8.20 and -7.6 for BuChE, respectively.

Discovering phenoxy acetohydrazide derivatives as urease inhibitors and molecular docking studies.

Helicobacter pylori causes severe stomach disorders and the use of enzyme inhibitors for treatment is one of the possible therapies. The great biological potential of imine analogs as urease inhibitors has been the focus of researchers in past years. In this regard, we have synthesized twenty-one derivatives of dichlorophenyl hydrazide. These compounds were characterized by different spectroscopic techniques i.e. NMR and HREI-MS. Compounds 2 and 10 were found to be the most active in the series. Structure-activity relationship has been established for all compounds based on different substituents attached to the phenyl ring that play a vital role in enzyme inhibition. From the structure-activity relationship, it has been observed that these analogs showed excellent potential for urease and can be an alternate therapy in the future. The molecular docking study was performed to further explore the binding interactions of synthesized analogs with enzyme active sites.Communicated by Ramaswamy H. Sarma.

Frequency of Urinary Tract Infection Among Patients Undergoing Implant Fixation for Acute Trauma.

OBJECTIVE: This study aims to determine the frequency of urinary tract infection (UTI), identify the isolated bacteria, and assess antibiotic sensitivity in patients undergoing orthopedic implant fixation for hip fractures. METHODOLOGY: After ethical approval from the institutional review board, this retrospective cross-sectional study was conducted at the Orthopedic Surgery Department of Dow University Hospital Karachi from June 2022 to June 2023. Through non-probability consecutive sampling, 186 patients above 16 years of age, of either gender, presenting with hip fractures such as intracapsular or extracapsular fractures, who underwent surgical fixation, were included in the study. A urine sample for urinalysis of these patients was sent on admission. Patients who presented with open fractures or those treated with conservative management were excluded from the study. The fracture diagnosis was confirmed on radiographs. All other relevant baseline investigations were also performed before surgery, per protocol, and urine-detailed and cultured reports were followed. In addition, each patient was asked about common symptoms of UTI before surgery and then diagnosed with UTI on positive urine culture and sensitivity (CS). RESULTS: Out of 186 hip fracture patients, 98 (52.7%) were males and 88 (47.3%) were females, with a mean age of 61.03 ± 16.43 (16-96) years. Pre-operative UTI symptoms were reported by 79 patients, including dysuria (16; 20.3%), polyuria (19; 24.0%), and burning (44; 55.7%). UTI was diagnosed on culture and sensitivity report in 65 (34.9%) patients with Escherichia coli as commonly diagnosed bacteria 35 (53.8%), followed by Enterococcus 8 (12.4%), Klebsiella 7 (10.9%), Pseudomonas aeruginosa 3 (4.7%), and Acinetobacter 2 (3.1%) patients. E. coli was sensitive to amikacin, amoxicillin/clavulanic acid, ampicillin, cefixime, ceftriaxone, cefuroxime, ciprofloxacin, colistin, cotrimoxazole, fosfomycin, gentamycin, levofloxacin, meropenem, nitrofurantoin, polymyxin B, and piperacillin-tazobactam. CONCLUSION: Urinary tract infection is common in patients undergoing orthopedic implant fixation for hip fractures, which can lead to potentially serious outcomes. Overall, hygiene, prompt treatment, and standard protocol should be utilized to treat those infected and minimize the spread.

Challenges and Approaches of Culturing the Unculturable Archaea.

Since Carl Woese's discovery of archaea as a third domain of life, numerous archaeal species have been discovered, yet archaeal diversity is poorly characterized. Culturing archaea is complicated, but several queries about archaeal cell biology, evolution, physiology, and diversity need to be solved by culturing and culture-dependent techniques. Increasing interest in demand for innovative culturing methods has led to various technological and methodological advances. The current review explains frequent hurdles hindering uncultured archaea isolation and discusses features for more archaeal cultivation. This review also discusses successful strategies and available media for archaeal culturing, which might be helpful for future culturing practices.

A woman in her fifties with cirrhosis of the liver and postural dyspnoea. / En kvinne i 50-årene med levercirrhose og stillingsavhengig dyspné.

A woman in her fifties with advanced cirrhosis of the liver was admitted multiple times with recurrent pleural effusion and ascites. She was accepted for liver transplantation, at which time she developed postural dyspnoea and a drop in oxygen saturation.

Biofilms as Battlefield Armor for Bacteria against Antibiotics: Challenges and Combating Strategies.

Bacterial biofilms are formed by communities, which are encased in a matrix of extracellular polymeric substances (EPS). Notably, bacteria in biofilms display a set of 'emergent properties' that vary considerably from free-living bacterial cells. Biofilms help bacteria to survive under multiple stressful conditions such as providing immunity against antibiotics. Apart from the provision of multi-layered defense for enabling poor antibiotic absorption and adaptive persistor cells, biofilms utilize their extracellular components, e.g., extracellular DNA (eDNA), chemical-like catalase, various genes and their regulators to combat antibiotics. The response of biofilms depends on the type of antibiotic that comes into contact with biofilms. For example, excessive production of eDNA exerts resistance against cell wall and DNA targeting antibiotics and the release of antagonist chemicals neutralizes cell membrane inhibitors, whereas the induction of protein and folic acid antibiotics inside cells is lowered by mutating genes and their regulators. Here, we review the current state of knowledge of biofilm-based resistance to various antibiotic classes in bacteria and genes responsible for biofilm development, and the key role of quorum sensing in developing biofilms and antibiotic resistance is also discussed. In this review, we also highlight new and modified techniques such as CRISPR/Cas, nanotechnology and bacteriophage therapy. These technologies might be useful to eliminate pathogens residing in biofilms by combating biofilm-induced antibiotic resistance and making this world free of antibiotic resistance.

Association of different blood groups in patients with Dengue fever and their relationship with the severity of the illness.

Objective: To determine the association of different blood groups in patients with Dengue fever and their relationship with the severity of the illness. Methods: A hospital-based descriptive study was conducted in the Dengue Isolation Ward of Lady Reading Hospital Peshawar from March 2020 to September 2020. Patients with Dengue fever were included in the study. The severity of the illness was categorized as "Dengue fever (DF)", "Dengue hemorrhagic fever (DHF)", and "Dengue shock syndrome (DSS)". The patients' blood groups were determined as A, B, AB, and O groups. All the data were recorded and analyzed using SPSS® version 23. Chi-square (χ2) and student t-test were applied, and a p-value of ≤0.05 was considered significant. Results: Out of 160 patients, 119(74.4%) were males; the patient's mean age was 38.09±15.68 SD, IQR=25 years. Greater proportion (28%) of the young men (up to 40 years) was affected compared to 9% young women. Fever (99%) and body aches (96%) were the most common presentation of DF, complicated by bleeding in 30.6% and shock in 9.4% of the patients. The majority (63.1%) of the patients had DF; 27.5% had DHF, and 9.4% had DSS. Sixty three (39.4%) patients had blood Group-B and 5.6% had Group-AB (p=0.97). The proportion of patients with different blood groups and the type/severity of the DF were almost identical except the fact that none of the patient with group AB had DSS. There was significant gender difference of hemoglobin (p=0.008, 95%CI=0.439, 2.844), hematocrit (p=0.012, 95%CI=0.00974, 0.07946); and Alanine Aminotransferase levels (p=0.002, 95%CI=-332.032, -72.233). Conclusion: Patients with blood Group-B were more frequent and AB was least commonly affected by the Dengue-virus infections. However, no association was found between a particular blood group and disease severity. Greater proportions of the younger men had Dengue infections.

Comparison of Rapid Antigen Detection Test with Reverse Transcription Polymerase Chain Reaction in Highly Suspected COVID-19 Patients.

OBJECTIVE: To compare Rapid Antigen Test (RAT) with Reverse Transcription Polymerase Chain Reaction (RT-PCR) in highly suspected COVID-19 patients and to determine its diagnostic parameters. STUDY DESIGN: Hospital-based, descriptive/observational study. Place and Duration of the Study: Department of Medicine/COVID Complex, Medical Teaching Institution/Lady Reading Hospital, Peshawar, Khyber Pakhtunkhwa, Pakistan, from October 2021 to April 2022. METHODOLOGY: A total of 300 highly suspected cases of COVID-19 of either gender admitted in the COVID Complex of the hospital, were included. Data from the patients, including RAT and RT-PCR for COVID-19, were collected retrospectively. RT-PCR was used as the reference test and compared with RAT. Diagnostic statistics of RAT, with their respective 95% confidence intervals were calculated for RAT in diagnosing COVID-19, with significance at p ≤0.05. RESULTS: Among the 300 patients, 137 (45.7%) were males and 163 (54.3%) were females. The mean age was 56.80 ± 13.72 years. On screening, 138 (46%) patients tested positive and 162 (54%) were negative by RAT; whereas 213 (71%) tested positive and 87 (29%) were negative on RT-PCR. The sensitivity and specificity of RAT were 54.5% (95% CI: 47.52%-61.28%) and 74.7% (95% CI: 64.25%-83.42%), respectively. Positive predicted value was 84.1% (95% CI: 78.26%-88.53%) and negative predictive value was 40.1% (95% CI: 35.63%-44.79%). The positive likelihood ratio was 2.15 (95% CI: 1.47-3.15). The negative likelihood-ratio was 0.61(95% CI: 0.50-0.74). The overall accuracy was 60.33% (95% CI: 54.55%-65.91%). CONCLUSION: There was a low sensitivity and specificity of the RAT for COVID-19, with an overall accuracy of 60.33%, compared with RT-PCR. KEY WORDS: COVID-19, Rapid Antigen Test, Sensitivity, Specificity, RT-PCR.

A computational approach to fighting type 1 diabetes by targeting 2C Coxsackie B virus protein with flavonoids.

Autoimmune diabetes, well-known as type 1 insulin-dependent diabetic mellitus (T1D). T1D is a prolonged condition marked by an inadequate supply of insulin. The lack is brought on by pancreatic cell death and results in hyperglycemia. The immune system, genetic predisposition, and environmental variables are just a few of the many elements that contribute significantly to the pathogenicity of T1D disease. In this study, we test flavonoids against Coxsackie virus protein to cope the type 1 diabetes. After protein target identification we perform molecular docking of flavonoids and selected target (1z8r). then performed the ADMET analysis and select the top compound the base of the docking score and the ADMET test analysis. Following that molecular dynamics simulation was performed up to 300 ns. Root means square deviation, root mean square fluctuation, secondary structure elements, and protein-ligand contacts were calculated as post-analysis of simulation. We further check the binding of the ligand with protein by performing MM-GBSA every 10 ns. Lead compound CID_5280445 was chosen as a possible medication based on analysis. The substance is non-toxic, meets the ADMET and BBB likeness requirements, and has the best interaction energy. This work will assist researchers in developing medicine and testing it as a treatment for Diabetes Mellitus Type 1 brought on by Coxsackie B4 viruses by giving them an understanding of chemicals against these viruses.

Synthesis, DFT Studies, Molecular Docking and Biological Activity Evaluation of Thiazole-Sulfonamide Derivatives as Potent Alzheimer's Inhibitors.

Alzheimer's disease is a major public brain condition that has resulted in many deaths, as revealed by the World Health Organization (WHO). Conventional Alzheimer's treatments such as chemotherapy, surgery, and radiotherapy are not very effective and are usually associated with several adverse effects. Therefore, it is necessary to find a new therapeutic approach that completely treats Alzheimer's disease without many side effects. In this research project, we report the synthesis and biological activities of some new thiazole-bearing sulfonamide analogs (1-21) as potent anti-Alzheimer's agents. Suitable characterization techniques were employed, and the density functional theory (DFT) computational approach, as well as in-silico molecular modeling, has been employed to assess the electronic properties and anti-Alzheimer's potency of the analogs. All analogs exhibited a varied degree of inhibitory potential, but analog 1 was found to have excellent potency (IC50 = 0.10 ± 0.05 µM for AChE) and (IC50 = 0.20 ± 0.050 µM for BuChE) as compared to the reference drug donepezil (IC50 = 2.16 ± 0.12 µM and 4.5 ± 0.11 µM). The structure-activity relationship was established, and it mainly depends upon the nature, position, number, and electron-donating/-withdrawing effects of the substituent/s on the phenyl rings.

Synthesis of indole derivatives as Alzheimer inhibitors and their molecular docking study.

Acetylcholinesterase prevails in the healthy brain, with butyrylcholinesterase reflected to play a minor role in regulating brain acetylcholine (ACh) levels. However, BuChE activity gradually increases in patients with (AD), while AChE activity remains unaffected or decays. Both enzymes therefore represent legitimate therapeutic targets for ameliorating the cholinergic deficit considered to be responsible for the declines in cognitive, behavioural, and global functioning characteristic of AD. Current study described the synthesis of indole-based sulfonamide derivatives (1-23) and their biological activity. Synthesis of these scaffolds were achieved by mixing chloro-substituted indole bearing amine group with various substituted benzene sulfonyl chloride in pyridine, under refluxed condition to obtained desired products. All products were then evaluated for AchE and BuchE inhibitory potential compare with positive Donepezil as standard drug for both AchE and BchE having IC50 = 0.016 ± 0.12 and 0.30 ± 0.010 µM respectively. In this regard analog 9 was found potent having IC50 value 0.15 ± 0.050 µM and 0.20 ± 0.10 for both AchE and BuChE respectively. All other derivatives also found with better potential. All compounds were characterized by various techniques such as 1H, 13C-NMR and HREI-MS. In addition, biological activity was maintained to explore the bioactive nature of scaffolds and their protein-ligand interaction (PLI) was checked through molecular docking study.Communicated by Ramaswamy H. Sarma.

DeepSeg: Deep Segmental Denoising Neural Network for Seismic Data.

Noise attenuation is a crucial phase in seismic signal processing. Enhancing the signal-to-noise ratio (SNR) of registered seismic signals improves subsequent processing and, eventually, data analysis and interpretation. In this work, a novel noise reduction framework based on an intelligent deep convolutional neural network is proposed that works on segments of the time-frequency domain and, hence named as DeepSeg. The proposed network is efficient in learning sparse representation of the data simultaneously in the time-frequency domain and adaptively capturing seismic signals corrupted with noise. DeepSeg is able to achieve impressive denoising performance even when seismic signal shares common frequency band with noise. The proposed approach properly tackles a variety of correlated (color) and uncorrelated noise, and other nonseismic signals. DeepSeg can boost the SNR considerably even in extremely noisy environments with minimal changes to the signal of interest. The effectiveness of the proposed methodology is demonstrated in enhancing passive seismic event detection/denoising. However, there are other obvious applications of the DeepSeg in active and passive seismic fields, e.g., seismic imaging, preprocessing of ambient noise data, and microseismic event monitoring. It is worth pointing out here that the deep neural network is trained exclusively using synthetic seismic data, negating the need for real data during the training phase. Furthermore, the proposed setup is general and its potential applications are not confined to passive event denoising or even seismic. The method proposed is also adaptable to other diverse signals in different settings, like medical images/signals [magnetic resonance imaging (MRI), electroencephalogram (EEG) signals, electrocardiograms (ECG) signals, and retinal images, to name a few], radar signals, speech signals, fault detection in electrical/mechanical systems, daily life images, etc. Experiments on synthetic and real seismic data reveal the efficacy and supremacy of the proposed method in terms of SNR improvement and required training data when compared to the state-of-the-art deep neural network-based denoising technique.

Prevalence and determinants of second-hand tobacco smoking in Pakistan.

Background: Exposure to second-hand tobacco smoke is a public health problem in countries with high prevalence of active smoking such as Pakistan. However, few studies have assessed the prevalence and risk factors for exposure to second-hand tobacco smoke. Aims: To estimate the prevalence and factors associated with exposure to second-hand tobacco smoke in Pakistan. Methods: This study used data from the 2017-2018 Pakistan Demographic and Health Survey to calculate the prevalence and determinants of second-hand tobacco smoke exposure. Sociodemographic characteristics, family size and exposure to media by the respondents were the independent variables. The chi-square test and logistic regression analyses were used to evaluate the relationship between exposure to second-hand tobacco smoke and the independent variables.hy9. Results: The survey included 61 940 adults, of which 30 027 (48.5%) were males and 31 913 (51.5%) females. The overall prevalence of exposure to second-hand tobacco smoke was 34.3%: 35.6% among males and 33.2% among females. Higher education level and rural residence were significantly positively associated with exposure to second-hand tobacco smoke among both sexes. Having a radio was inversely associated with exposure while having a television was positively associated with exposure among both sexes. Large family size was inversely associated with exposure. Currently and previously married females had significantly greater risk of exposure than never-married females. Conclusion: Tailored health interventions and policies are needed that target populations at high-risk of exposure to second-hand tobacco smoke. Strict smoking bans in public places should be implemented to limit exposure to second-hand tobacco smoke in Pakistan.

Early-Onset of Gestational Diabetes vs. Late-Onset: Can We Revamp Pregnancy Outcomes?

Background: We assessed risk factors, antenatal and intrapartum complications associated with early-onset Gestational diabetes mellitus (GDM) in comparison with late-onset GDM. Methods: This retrospective study included 161 GDM women having singleton pregnancies, without previous medical disorder and delivered at a tertiary care Hospital in Ha'il City, KSA from Dec 2020 till Jun 2021. Women diagnosed at < 24 weeks of pregnancy were grouped as early-onset GDM (n=71) and those diagnosed at ≥ 24 weeks as late-onset GDM (n=90). Both groups were matched for background variables. Chi-square and binary logistic regression analysis were applied with P-value significance at 0.05. Results: Past history of GDM, macrosomia and stillbirth were significant predictors for early-onset GDM (P value 0.000, 0.002 and 0.040 respectively). Regression analysis showed early-onset GDM significantly increases the risk for recurrent urinary tract infections (AOR 2.35), polyhydramnios (AOR 2.81), reduced fetal movements (AOR 2.13), intrauterine fetal demise (AOR 8.06), macrosomia (AOR 2.16), fetal birth trauma (2.58), low APGAR score at birth (AOR 8.06), and neonatal ICU admissions (AOR 2.65). Rate of preterm birth, hypertensive disorders, labor onset (natural vs. induced) and cesarean section and intrapartum maternal complications were same in both groups. Conclusion: Early-onset GDM significantly increases certain maternal (recurrent urinary tract infections, polyhydramnios and reduced fetal movements) and fetal complications (intrauterine fetal demise, macrosomia fetal birth trauma, low APGAR score at birth and neonatal ICU admissions). Most of these adverse pregnancy outcomes can be prevented through early registration and screening, close follow up, growth ultrasounds, and provision of efficient emergency and neonatal care services.

Effect of physical activity and sedentary sitting time on psychological quality of life of people with and without disabilities; A survey from Saudi Arabia.

Background: Mental and psychological health issues are on the rise globally. People with disabilities are at greater risk of poor psychological quality of life especially after covid-19 pandemic. Along with other factors physical activity (PA) may have a significant effect on mental health. This study aims to analyze the difference of PA participation and sitting time among people with and without disabilities and their association with psychological quality of life. Methods: A standard questionnaire was used to collect the data from disabled and non-disabled participants above 15 years of age. Bivariate and multivariate analysis was performed to yield statistical results. Results: Total study sample consisted of 359 participants (67.7% without disability and 32.3% with disability). Participants without disabilities reported a significantly better psychological quality of life (QOL) (Mean score = 68) as compared to the ones with disabilities (Mean score = 61), (p < 0.01). There was significant difference between the sitting time of two groups with longer sitting time among people with disabilities (6.1 h/day) as compared to non-disabled (5.3 h). Optimum level of PA was strongly associated with better psychological quality of life among individuals without disabilities (p = 0.00). Younger age (p = 0.00) and being single (p = 0.01) were significant predictors of poor psychological health among non-disables. Increase in sedentary sitting time was significantly associated with poor psychological quality of life among both groups. Conclusions: Tailored health policies to encourage PA and reduce sitting hours should be formulated to improve psychological health with special focus on individuals with disabilities. Future studies with large sample size are recommended to validate the current results and further explore the difference in association of PA and psychological wellbeing in people with and without disabilities.

Designing Highly Efficient Temperature Controller for Nanoparticles Hyperthermia.

This paper presents various control system design techniques for temperature control of Magnetic Fluid hyperthermia. The purpose of this research is to design a cost-effective, efficient, and practically implementable temperature controller for Magnetic Fluid hyperthermia, which is presently under research as a substitute to the radiation and chemotherapy treatment of cancer. The principle of this phenomenon centers on the greater sensitivity of tumor cells to changes in temperature in comparison to healthy cells. Once the nanoparticles reach the desired tissue, it can then be placed in a varying magnetic field to dissipate the heat locally by raising the temperature to 45 °C in order to kill cancerous cells. One of the challenging tasks is to maintain the temperature strictly at desired point i.e., 45 °C. Temperature controller for magnetic fluid hyperthermia provides the tight control of temperature in order to avoid folding of proteins and save the tissues around the cancerous tissue from getting destroyed. In contrast with most of the existing research on this topic, which are based on linear control strategies or their improved versions, the novelty of this research lies in applying nonlinear control technique like Sliding Mode Control (SMC) to accurately control the temperature at desired value. A comparison of the control techniques is presented in this paper, based on reliability, robustness, precision and the ability of the controller to handle the non-linearities that are faced during the treatment of cancer. SMC showed promising results in terms of settling time and rise time. Steady state error was also reduced to zero using this technique.

The first molecular identification and phylogenetic analysis of tick-borne pathogens in captive wild animals from Lohi Bher zoo, Pakistan.

Tick-borne pathogens are causing severe diseases in livestock, wild animals, and humans. Wild animals play a crucial role in tick-borne pathogens' transmission life cycle by serving as reservoir hosts or intermediate hosts, posing a continuous risk for domestic animals and humans. The presence of tick-borne pathogens is often ignored in wild animals kept in zoos, which is a public health concern. In the present study, we investigated these pathogens in tick-infested captive wild animals at the Lohi Bher zoo, Pakistan. Blood samples were collected from 22 animals, which include urials (4) (Ovis aries vignei), blackbucks (3) (Antilope cervicapra), fallow deer (1) (Dama dama), hog deer (6) (Axis porcinus), chinkaras (4) (Gazella bennettii), white tiger (2) (Panthera tigris tigris), a giraffe (Giraffa camelopardalis), and African lions (2) (Panthera leo). The samples were screened for Piroplasm and Anaplasma spp. by polymerase chain reaction targeting different gene loci. We detected three Theileria spp. and one Anaplasma sp. from the investigated captive wild animals. The Theileria sp. dama gazelle was detected from chinkara, Theileria sp. NG-2012b from chinkara and giraffe and T. parva from African lion, and Anaplasma bovis was identified in a giraffe. Moreover, Theileria sp. and Anaplasma sp. coinfection was detected in one giraffe. Overall, this study shows that Theileria spp. and Anaplasma spp. are circulating in captive wild animals, which can play an important role in their spread. Further studies are required to monitor tick-borne pathogens in zoo animals and their potential to spread from exotic wild captive animals to local wild and domestic.