Adequate Criteria Research Articles

Usefulness of simplified comprehensive geriatric assessment as a pre-ERCP screening for the elderly.

Endoscopic retrograde cholangiopancreatography (ERCP) is often performed in elderly patients for stone removal and biliary drainage following common bile duct stones or malignant biliary obstruction. Safety in ERCP should be considered in elderly patients due to complications and decreased activities of daily living (ADL), but there are no adequate pretest evaluation criteria. In recent years, the usefulness of the comprehensive geriatric assessment (CGA) for planning treatment and predicting prognosis has been reported. We retrospectively analyzed consecutive patients who underwent ERCP at our institution between October 2021 and June 2023. The relationship between CGA and ERCP outcomes was examined by dividing CGA scores into three groups (Group A; score 0, Group B; score 1-4, Group C; score 5-7) among patients 65 years of age and older. Risk factors for prolonged hospitalization were identified using univariate and multivariate analysis. Of the 388 patients, 290 were 65 or older with a CGA score. The median length of hospital stay was significantly longer in the higher CGA7 scores group (5 vs. 8 vs. 15 days, p < .01). There was no significant difference in the rate of adverse events (p = .54) and median total procedure time (p = .35). In univariate and multivariate analysis, higher CGA score groups were significant risk factors for a prolonged hospital stay. CGA appears to be a valuable tool for preadmission screening in elderly patients undergoing ERCP.

Pengaruh Quality of Work Life dan Karakteristik Pekerjaan Terhadap Kinerja dengan Komitmen Organisasional Sebagai Variabel Mediasi pada Dinas Kesehatan Kota Semarang

This research aims to analyze the influence of quality of work life, job characteristics, quality of work life, and organizational commitment on the performance of Semarang City Health Service employees. This type of research is explanatory research. The results of the quality of work life variable, job characteristics variable, organizational commitment variable, and performance variable have a KMO value which indicates that the criteria for adequacy of this research sample have been met. Based on hypothesis testing and mediation effect testing results obtained: 1). Quality of work life has a positive influence on organizational commitment; 2). Job characteristics have a positive effect on organizational commitment; 3). Quality of work life influences performance; 4). Job characteristics have a positive effect on performance; 5). Organizational commitment has no effect on performance; 6). Organizational commitment is not a variable that mediates the influence of quality of work life on performance; 7). Organizational commitment is a variable that mediates the influence of job characteristics on performance.

Involuntary Allotment Among Armed Forces Personnel Based On The Subsistence Rate According To Syarak

The Involuntary Allotment (IA) adopted by the Malaysian Armed Forces (MAF) is a welfare and mindfulness policy that aims to assist, organise and secure the finances of MAF personnel and their families. Despite the policy being in place for quite some time, financial constraints continue to cause household issues. Hence, it is questionable whether the IA rate is still relevant or should be reviewed and reassessed in line with the subsistence adequacy rate set by Syarak to meet the family’s expenditure needs. There are two criteria for determining the level of adequate subsistence in Islam: the husband’s income and the wife’s needs according to current values. This study adopted the IA rate method based on the subsistence adequacy criteria and applied the standard approach for determining the subsistence adequacy rate. This descriptive study analysed the subsistence adequacy rate based on the IA deduction rate. The data collection methods used were content analysis and semi-structured interviews, involving informants from three areas of expertise: counsellors registered with MAF, administrative officers from UGAT and the Head of the Syariah Law Unit of KAGAT. Findings indicate that the percentage of IA deductions assigned for Officers and Other Ranks (OR) does not reach the level of daruriyyat, hajiyat or tahsiniyyat subsistence requirements. This study recommends a new calculation method for determining the subsistence rate based on the husband’s income and the wife’s spending needs. The MAF can adopt this new calculation method based on daruriyyat, hajiyat and tahsiniyyat subsistence requirements as a guideline for improving the current IA rate.

Stability and [formula omitted]-gain analysis of switched positive systems with unstable subsystems and sector nonlinearities

In this paper, we are concerned with exponential stability and L1-gain performance of a type of switched nonlinear positive systems (SNPSs) with time-varying delay made up of partially unstable subsystems. What sets it apart from other articles is that nonlinear parts of this article are confined in a certain region. Besides, the adequacy criteria are obtained in a linear programming format via designing the novel nonlinear Lyapunov-Krasovskii (L-K) functionals and a set of special switching sequences under average dwell time (ADT) switching rule. Eventually, with the help of comparison principle, the theoretical results can be further expanded to time-varying switched systems. As practical applications, we apply the theoretical achievements to stability of switched neural networks to confirm the feasibility of the conclusions.

In Defense of Claim Rights

The claim-right model of rights contends that Hohfeldian ‘claim-rights’ defined in terms of a constitutive correlativity with directed duties mark a distinctive phenomenon encompassing paradigmatic moral rights. Recent criticisms suggest this traditional model faces a dilemma: any plausible specification (i) is extensionally or explanatorily inadequate or (ii) cannot serve a distinct normative purpose intended by those invoking rights. This work defends the claim-right model against this line of critique. It demonstrates that proper understandings of the extensional/explanatory adequacy criteria and the intended taxonomic role claim-rights are meant to fulfil dissolve the apparent dilemma and support the model.

Enhancing supervised analysis of imbalanced untargeted metabolomics datasets using a CWGAN-GP framework for data augmentation

Untargeted metabolomics is an extremely useful approach for the discrimination of biological systems and biomarker identification. However, data analysis workflows are complex and face many challenges. Two of these challenges are the demand of high sample size and the possibility of severe class imbalance, which is particularly common in clinical studies. The latter can make statistical models less generalizable, increase the risk of overfitting and skew the analysis in favour of the majority class. One possible approach to mitigate this problem is data augmentation. However, the use of artificial data requires adequate data augmentation methods and criteria for assessing the quality of the generated data.In this work, we used Conditional Wasserstein Generative Adversarial Networks with Gradient Penalty (CWGAN-GPs) for data augmentation of metabolomics data. Using a set of benchmark datasets, we applied several criteria for the evaluation of the quality of generated data and assessed the performance of supervised predictive models trained with datasets that included such data. CWGAN-GP models generated realistic data with identical characteristics to real samples, mostly avoiding mode collapse. Furthermore, in cases of class imbalance, the performance of predictive models improved by supplementing the minority class with generated samples. This is evident for high quality datasets with well separated classes. Conversely, model improvements were quite modest for high class overlap datasets. This trend was confirmed by using synthetic datasets with different class separation levels. Data augmentation is a viable procedure to alleviate class imbalance problems but is not universally beneficial in metabolomics.

THE INSERTION OF PROLONGED GRIEF DISORDER IN THE DSM-5-TR: Integrative literature review (2020-2024)

This study aims to explore the literature on Prolonged Grief Disorder (PGD) following its recent inclusion in the DSM-5-TR, analyzing the implications of this new categorization for interventions with bereaved individuals. To achieve this, the methodology used was an Integrative Literature Review in the databases: PubMed, BVS, and SciELO, using the descriptors: prolonged grief disorder, prolonged grief disorder, and prolonged grief and DSM-5-TR, with works published in the period from 2020 to 2024. A total of 980 articles were found, and after the entire analysis and selection process, 7 studies were included in the research. The results indicate that although the inclusion of PGD in the DSM-5-TR has sparked debates about the medicalization of grief and the potential risks of stigmatization and an expressive number of diagnosis, there is also growing recognition that PGD represents a distinct clinical condition that requires specific intervention. From this, it is concluded that despite the controversy, the recognition of PGD has proven to be a significant advancement in clinical practice, provided it is accompanied by adequate understanding and precise diagnostic criteria, as well as future research being developed to clarify the best therapeutic approaches.

Efektivitas E-ABK: Analisis Beban Kerja di Dinas Pendidikan Kota Surabaya

This research examines the effectiveness of E-ABK (Workload Analysis) in the Surabaya City Education Office. The aim of this research is: To find out how effective E-ABK is in the Surabaya City Education Office. The research method in this study uses a qualitative approach with descriptive research. This research wants to discuss the effectiveness of E-ABK (Workload Analysis) in the Surabaya City Education Office which consists of 5 indicators, namely Efficiency, Adequacy, Evenness, Responsiveness and Accuracy. This research uses primary data collection techniques in the form of observation, documentation and interviews, while secondary data uses the results of previous research with different loci. The research results show that the use of E-ABK (Workload Analysis) is in accordance with 5 indicators, namely Efficiency: Based on the data sources obtained, it is very supportive in assisting the process of filling in crew members. ASN employee resources that support the implementation of E-ABK can be said to be efficient if all ASN are able to understand the filling flow and complete it on time. ; Adequacy: The organization of regional apparatus in the Education Service has been carried out in accordance with the applicable mechanism, namely an analysis of workload on the organizational structure. The policy for structuring regional apparatus organizations in the Education Department has met the adequacy criteria. This can be seen from the fact that the organizational structuring policies implemented have met the needs of the city government organization itself. ; Alignment: By equalizing the workload, you can create a fairer and more equitable work environment where all employees can give their best. ; Responsiveness: Increasing responsiveness can increase efficiency, reduce waiting time, increase customer satisfaction, and increase employee morale. ; and Accuracy: The accuracy of the number of employees needed in the Surabaya City Education Department can be seen through the existing number which will later be determined and matched between the existing E-ABK and the existing number of employees currently. The implementation of E-ABK (Workload Analysis) for Employees at the Surabaya City Education Office has been going smoothly. Even though the infrastructure and human resources are available and sufficient, there are still some employees who still do not fully understand how to fill out E-ABK. To increase employee competency, regular outreach and training regarding the use of E-ABK is needed.

The Cytological Diagnosis of a Malignant Effusion Is Independent of the Volume of Fluid Processed.

The relationship between pleural fluid volume and cytological diagnosis of malignancy has been often investigated with conflicting conclusions on whether or not a minimum fluid volume should be defined. The primary objective of this retrospective investigation is to evaluate the relationship between fluid volume and cytological diagnosis of malignancy. A total of 511 body fluid specimen reports received between January 2018 and December 2019 were examined to investigate the relationship between diagnosis of malignancy to volume and biochemical properties. Pleural fluid (n = 252) and peritoneal fluid (n = 250) specimens were binned into two volume groups (< 75 mL, ≥ 75 mL). Pericardial fluid specimens (n = 9) were excluded due to small sample size. Prevalence of malignancy for pleural and peritoneal fluids was 20.2% and 20.08%, respectively, with no significant difference between the two volume groups. Malignant pleural effusions were associated with a serum to fluid protein ratio > 0.5 and malignant peritoneal effusions were associated with a serum ascites albumin gradient (SAAG) < 1.1 g/dL. Our study did not find a significant difference in the diagnosis of malignancy between volumes ≥ 75 mL and < 75 mL in either pleural or peritoneal fluid. Fluid volume is, therefore, not an adequacy criterion for detecting malignancy in either pleural or peritoneal fluid. Our analysis on the biochemical properties of each malignant fluid type was supportive of current use of Light's criteria and SAAG for effusion fluid evaluation.

Exploring sound diffusion in learning environments through experimental and wave-based analysis

Acoustic design guidelines in learning environments generally involve specific requirements of reverberation time (T20), speech clarity (C50), and speech transmission index (STI) to ensure adequate quality for spoken communication. Predictive formulas recommended by international standards rely on ideal diffuse field theory as a crucial factor for meeting adequate room acoustics criteria. However, such theoretical assumptions are barely encountered in real-world rooms, undermining the predictions' accuracy. The present work explores the main factors influencing sound diffusion in classrooms by means of in-field acoustic measurements and numerical models. In detail, different desk configurations and the installation of materials with varying acoustic impedances at the suspended ceiling have been studied to evaluate the associated increase in sound diffusion. Among the several metrics to quantify sound diffusion, the standard deviation of measured reverberation time values has been selected in the present study. Experimental and simulated data findings reveal that the furniture layout with a single desk arrangement and the suspended ceiling's treatment with porous and perforated ceiling tiles increase sound diffusion by exploiting edge diffraction and material discontinuities, respectively.

Outpatient Management Protocol for Uncomplicated Diverticulitis: A 3-Year Monocentric Experience in a Tertiary Hospital.

Background/Objectives: The management of acute uncomplicated diverticulitis (AUD) has shifted towards outpatient care in the last decade, challenging the traditional inpatient approach. We aimed to analyze the safety and feasibility of a structured outpatient treatment pathway for AUD in a tertiary hospital. Methods: We conducted a retrospective observational cohort analysis of patients who underwent outpatient management for AUD at the Geneva University Hospitals from 2019 to 2021. Patient demographics, selection criteria, treatment protocols, and outcomes were analyzed. Results: Two-hundred and twenty patients were included in the outpatient cohort. Four patients (1.8%) required hospitalization due to the failure of outpatient management, whereas the majority of patients (116 patients, 98.2%) experienced a successful resolution of their symptoms without hospitalization. In a univariate analysis, factors associated with treatment failure included elevated white blood cell counts at admission (14 G/l vs. 10.6 G/l, p = 0.049) and the first follow-up appointment, (10.7 G/l vs. 7.4 G/l, p = 0.011) and the presence of free air on their CT scan (25% vs. 2,3%, p = 0.033). In a multivariate analysis, the presence of free air was the only identified risk factor for unsuccessful outpatient management (p = 0.05). We observed high rates of follow-up compliance (99.1%). Conclusion: Under the condition of a warranted outpatient follow-up appointment and with adequate selection criteria, outpatient management appears to be an effective approach for most patients with AUD, emphasizing the importance of tailored therapeutic interventions and vigilant clinical assessments for optimal outcomes.

Applications of Generalized Hypergeometric Distribution on Comprehensive Families of Analytic Functions

A sequence of n trials from a finite population with no replacement is described by the hypergeometric distribution as the number of successes. Calculating the likelihood that factory-produced items would be defective is one of the most popular uses of the hypergeometric distribution in industrial quality control. Very recently, several researchers have applied this distribution on certain families of analytic functions. In this study, we provide certain adequate criteria for the generalized hypergeometric distribution series to be in two families of analytic functions defined in the open unit disk. Furthermore, we consider an integral operator for the hypergeometric distribution. Some corollaries will be implied from our main results.

Adequacy Assessment in Lymph Node Aspirates: An Exploratory Cytomorphologic Analysis of Negative Cervical Node Aspirates of Head and Neck Carcinomas

Introduction: Fine-needle aspiration cytology (FNAC) of lymph node is sensitive for detection of metastatic carcinoma but not without a significant false-negative rate. This study reviews clinicocytological features of negative node aspirates to identify predictive factors for establishing adequacy criteria. Methods: Negative FNAC specimens matched with neck dissection from a primary diagnosis of head and neck squamous cell, or undifferentiated (nasopharyngeal) carcinoma were reviewed for clinical and cytological parameters including lymphoid, inflammatory, and background components. Results: Slides from 86 lymph node aspirates including 50 positive for metastasis on follow-up were retrieved. Higher total lymphocyte count, lymphoid fragment count, germinal center fragment count, undifferentiated histology, presence of histiocytes and absence of blood were associated with a true negative cytologic diagnosis (p < 0.05), but not node size or location (p > 0.05). Undifferentiated histology, small lymphoid and germinal center fragments were independent factors indicative of a true negative diagnosis (p < 0.05). Large lymphoid fragments (p = 0.052) demonstrated a trend. Assessment of lymphoid components over five hotspots high-power fields (HPFs) was more robust in predictive value than only one hotspot. Receiver operating characteristic curve identified >10 small lymphoid, >20 large lymphoid and >2 germinal center fragment per five HPFs as optimal adequacy thresholds. Stricter total lymphocyte count cutoff accompanies increase of diagnostic accuracy, up to 0.67 for ≥5 HPFs with >500 lymphocytes. Conclusion: Total counts of lymphoid and germinal center fragments from multiple HPFs are useful in adequacy assessment of lymph node aspirates and improve diagnostic performance of FNAC in exclusion of metastatic carcinoma.

Sedentary Behavior Of Elementary School Students Based On Class Teacher Perceptions And Physical Education Teacher, Sports And Health In The District Turen

This type of quantitative research using a comparative causal method was carried out by comparing the perceptions of class teachers and PJOK teachers to determine the sedentary behavior of elementary school students spread across Turen District. Data was collected via an online questionnaire/questionnaire (google form) with 5 Likert answer scales and analyzed using a single mean versus criterion test (one sample t-test) and an independent group mean difference test (independent sample t-test). IBM SPSS Statistics 25 is used to make it easier to calculate analysis results. The findings of this research are (1) The physical activity of elementary school children according to the class teacher has not met the adequate criteria set, (2) The physical activity of elementary school children according to the PJOK teacher has not met the adequate criteria set, and (3) There is no significant difference in mean. between the class teacher's perception and the PJOK teacher's perception of the sedentary behavior of elementary school age children.

The Relationship of Toothbrushing Knowledge and Gingival Tissue Condition in Class VII and VIII Students of SMP Negeri 1 Payakumbuh Limapuluh Kota District

A person's low knowledge about health can be a predisposing factor for the emergence of a disease. Knowledge is a cognitive domain that influences a person's health attitudes and behavior, especially actions to prevent and cure disease. The aim of this research was to determine the relationship between toothbrushing knowledge and the condition of gingival tissue in students of class VII and VIII of SMP Negeri 1 Payakumbuh District, Limapuluh Kota Regency. The research method used is quantitative with a cross sectional research design. The population of this research is students of class VII and VIII of SMP Negeri 1 Payakumbuh District. The sampling technique used Proportionate Stratified Random Sampling technique and inclusion criteria technique so that the sample was 150 people. The research was carried out by filling out a knowledge questionnaire and examining the gingival index. The data analysis used is univariate and bivariate analysis. The research results showed that students' toothbrushing knowledge had good criteria at 29.3%, adequate criteria at 49.3% and inadequate criteria at 21.3%. The condition of the gingival tissue is healthy criteria 8%, mild inflammation 77.3%, moderate inflammation 13.3% and severe inflammation 1.3%. The Chi-square test results obtained a p-value of 0.027 &lt; 0.05. The conclusion of the research is that there is a significant relationship between knowledge of brushing teeth and the condition of gingival tissue in junior high school students. It is recommended for students to increase their knowledge about brushing their teeth by looking for more sources of information about dental and oral health, brushing their teeth twice a day in the morning after breakfast and at night before going to bed and regularly checking with dental and oral health services once every 6 months.

Enhancing logic-based testing with EvoDomain: A search-based domain-oriented test suite generation approach

ContextEffective software testing requires test adequacy criteria. MC/DC, a widely used logic-based testing criterion, struggles to detect domain errors caused by incorrect arithmetic operations. Domain errors occur when test requirement boundaries shift or tilt, causing unpredictable behavior and system crashes. ObjectiveTo address the inadequacy of MC/DC in detecting domain errors, we present EvoDomain, a search-based testing technique. MethodEvoDomain uses a memetic algorithm combining genetic and hill-climbing algorithms, along with the DBSCAN clustering algorithm to select diversified boundary test data. The memetic algorithm is designed to efficiently enhance the search process for covering boundary test data. We compared EvoDomain with two logic-based testing approaches, a domain-oriented test suite generation approach, and random testing. ResultsEvaluations on 30 case studies show EvoDomain increases fault detection by 74.44% over MC/DC and 65.06% over RoRG. Additionally, EvoDomain improves support for different fault types by up to 68.89% for MC/DC and 66.33% for RoRG. Compared to COSMOS, which uses static analysis, EvoDomain improves the convergence effectiveness of identifying feasible subdomains by 32%. It offers high accuracy (0.99-1) and F1-score (0.99-1). EvoDomain finds the subdomains in less than 1/3 the time of Random search. ConclusionEvoDomain effectively generates domain-oriented test suites, enhancing the accuracy and effectiveness of fault detection.

Diagnostic accuracy of chest X-ray and CT using artificial intelligence for osteoporosis: systematic review and meta-analysis.

Artificial intelligence (AI)-based systems using chest images are potentially reliable for diagnosing osteoporosis. We performed a systematic review and meta-analysis to assess the diagnostic accuracy of chest X-ray and computed tomography (CT) scans using AI for osteoporosis in accordance with the diagnostic test accuracy guidelines. We included any type of study investigating the diagnostic accuracy of index test for osteoporosis. We searched MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, and IEEE Xplore Digital Library on November 8, 2023. The main outcome measures were the sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) for osteoporosis and osteopenia. We described forest plots for sensitivity, specificity, and AUC. The summary points were estimated from the bivariate random-effects models. We summarized the overall quality of evidence using the Grades of Recommendation, Assessment, Development, and Evaluation approach. Nine studies with 11,369 participants were included in this review. The pooled sensitivity, specificity, and AUC of chest X-rays for the diagnosis of osteoporosis were 0.83 (95% confidence interval [CI] 0.75, 0.89), 0.76 (95% CI 0.71, 0.80), and 0.86 (95% CI 0.83, 0.89), respectively (certainty of the evidence, low). The pooled sensitivity and specificity of chest CT for the diagnosis of osteoporosis and osteopenia were 0.83 (95% CI 0.69, 0.92) and 0.70 (95% CI 0.61, 0.77), respectively (certainty of the evidence, low and very low). This review suggests that chest X-ray with AI has a high sensitivity for the diagnosis of osteoporosis, highlighting its potential for opportunistic screening. However, the risk of bias of patient selection in most studies were high. More research with adequate participants' selection criteria for screening tool will be needed in the future.

QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems

Quantum Neural Network (QNN) combines the Deep Learning (DL) principle with the fundamental theory of quantum mechanics to achieve machine learning tasks with quantum acceleration. Recently, QNN systems have been found to manifest robustness issues similar to classical DL systems. There is an urgent need for ways to test their correctness and security. However, QNN systems differ significantly from traditional quantum software and classical DL systems, posing critical challenges for QNN testing. These challenges include the inapplicability of traditional quantum software testing methods to QNN systems due to differences in programming paradigms and decision logic representations, the dependence of quantum test sample generation on perturbation operators, and the absence of effective information in quantum neurons. In this paper, we propose QuanTest, a quantum entanglement-guided adversarial testing framework to uncover potential erroneous behaviors in QNN systems. We design a quantum entanglement adequacy criterion to quantify the entanglement acquired by the input quantum states from the QNN system, along with two similarity metrics to measure the proximity of generated quantum adversarial examples to the original inputs. Subsequently, QuanTest formulates the problem of generating test inputs that maximize the quantum entanglement adequacy and capture incorrect behaviors of the QNN system as a joint optimization problem and solves it in a gradient-based manner to generate quantum adversarial examples. Experimental results demonstrate that QuanTest possesses the capability to capture erroneous behaviors in QNN systems (generating 67.48%-96.05% more high-quality test samples than the random noise under the same perturbation size constraints). The entanglement-guided approach proves effective in adversarial testing, generating more adversarial examples (maximum increase reached 21.32%).

Numerical Modeling and Simulation of Vehicular Crashes into Three-Bar Metal Bridge Rail

Advanced finite element (FE) modeling and simulations were performed on vehicular crashes into a three-bar metal bridge rail (TMBR). The FE models of a sedan, a pickup truck, and a TMBR section were adopted in the crash simulations subject to Manual for Assessing Safety Hardware (MASH) Test Level 2 (TL-2) and Test Level 3 (TL-3) requirements. The test vehicle models were first validated using full-scale physical crash tests conducted on a two-bar metal bridge using a sedan and a pickup truck with similar overall physical properties and sizes to their respective vehicles used in the simulations. The validated vehicular models were then used to evaluate the crash performance of the TMBR using MASH evaluation criteria for structural adequacy, occupant risk, and post-impact trajectory. The TMBR met all MASH TL-2 requirements but failed to meet the MASH TL-3 Criteria H and N requirements when impacted by the sedan. The TMBR was also evaluated under in-service conditions (behind a 1.52 m wide sidewalk) and impacted by the sedan under MASH TL-3 conditions. The simulation results showed that the TMBR behind a sidewalk met all safety requirements except for the occupant impact velocity in the longitudinal direction, which exceeded the MASH limit by 3.93%.

Mode-dependent observer-based secured hybrid-driven reliable control for semi-Markov jump cyber–physical systems with DoS attacks

This study focuses on the issue of secured observer based hybrid-triggered quantized reliable control design for semi-Markov jump cyber–physical systems (S-MJCPSs) with general uncertain transition rates, quantization, actuator faults, denial-of-service (DoS) attacks and disturbances. In particular, a mode-dependent observer is developed to estimate the unmeasurable states of the considered system. Further, to minimize unnecessary data transmissions within the network channel, we have implemented a hybrid-triggered mechanism in which, the swap process between the time-triggered and the event-triggered mechanisms is governed by a Bernoulli distribution. Moreover, an observer-based hybrid-triggered quantized reliable controller is devised by utilizing the state estimation information obtained from the observer, which assists the S-MJCPSs to achieve primary intent of this study. Subsequently, the control input signals are quantized before being transmitted into the actuator due to the limited capacity of the data transmission medium. Concurrently, periodic DoS jamming attacks are taken into consideration, which have a significant impact on control performances. A set of adequate criteria is established in the context of linear matrix inequalities by employing the mode-dependent time-varying piecewise Lyapunov-Krasovskii functional and the integral inequalities, guaranteeing that the undertaken system accomplishes the global exponential stability and meet a specific H∞ performance level. Following that, by means of the deduced adequate criteria, the values of the controller and observer gain are computed. At last, the efficacy and applicability of the derived theoretical findings are demonstrated through two practical examples.